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* refactor: extract agent core package Introduce packages/agent-core as the OpenClaw-owned home for reusable agent loop, harness, session, prompt, and runtime dependency contracts. * refactor: extract shared llm runtime Move provider model registries, stream wrappers, OAuth helpers, and LLM utilities into src/llm with plugin-sdk barrels instead of depending on the old embedded runtime layout. * refactor: remove pi runtime internals Rename remaining Pi-shaped agent surfaces to OpenClaw agent runtime names, delete obsolete Pi docs and package graph checks, and add the third-party notice for incorporated code. * refactor: tighten agent session runtime Make agent-core/runtime dependencies explicit, consolidate compaction and session transcript helpers, and move model/session helpers behind OpenClaw-owned contracts. * refactor: remove static model and pi auth paths Drop static model catalogs and Pi auth bridges, move model/provider facts to manifest-owned runtime contracts, and harden internal embedded-agent utilities. * refactor: remove legacy provider compat paths * docs: remove agent parity notes * fix: skip provider wildcard metadata parsing * refactor: share session extension sdk loading * refactor: inline acpx proxy error formatter * refactor: fold edit recovery into edit tool * fix: accept extension batch separator * test: align startup provider plugin expectations * fix: restore provider-scoped release discovery * test: align static asset packaging expectations * fix: run static provider catalogs during scoped discovery * fix: add provider entry catalogs for scoped live discovery * fix: load lightweight provider catalog entries * fix: refresh provider-scoped plugin metadata * fix: keep provider catalog entries on release live path * fix: keep static manifest models in release live checks * fix: harden release model discovery * fix: reduce OpenAI live cache probe reasoning * fix: disable OpenAI cache probe reasoning * ci: extend OpenAI gateway live timeout * fix: extend live gateway model budget * fix: stabilize release validation regressions * fix: honor provider aliases in model rows * fix: stabilize release validation lanes * fix: stabilize release memory qa * ci: stabilize release validation lanes * ci: prefer ipv4 for live docker node calls * fix: restore shared tool-call stream wrapper * ci: remove legacy pi test shard alias * fix: clean up embedded agent test drift * fix: stabilize runtime alias status * fix: clean up embedded agent ci drift * fix: restore release ci invariants * fix: clean up post-rebase runtime drift * fix: restore release ci checks * fix: restore release ci after rebase * fix: remove stale pi runtime path * test: align compaction runtime expectations * test: update plugin prerelease expectations * fix: handle claude live tool approvals * fix: stabilize release validation gates * fix: finish agent runtime import * test: finish post-rebase agent runtime mocks * fix: keep codex compaction native * fix: stabilize codex app-server hook tests * test: isolate codex diagnostic active run * test: remove codex diagnostic completion race # Conflicts: # extensions/codex/src/app-server/run-attempt.test.ts * ci: fix full release manifest performance run id * refactor: narrow llm plugin sdk boundary * chore: drop generated google boundary stamps * fix: repair rebase fallout * fix: clean up rebased runtime references * fix: decode codex jwt payloads as base64url * fix: preserve shipped pi runtime alias * fix: add scoped sdk virtual modules * fix: decode llm codex oauth jwt as base64url * fix: avoid stale vertex adc negative cache * fix: harden tool arg decoding and codeql path * fix: keep vertex adc negative checks live * refactor: consolidate codex jwt and edit helpers * fix: await codex oauth node runtime imports * fix: preserve sdk tool and notice contracts * fix: preserve shipped compat config boundaries * fix: align codex oauth callback host * fix: terminate agent-core loop streams on failure * fix: keep codex oauth callback alive during fallback * ci: include session tools in critical codeql scans * fix: keep Cloudflare Anthropic provider auth header * docs: redirect legacy pi runtime pages * fix: honor bundled web provider compat discovery * fix: protect session output spill files * fix: keep legacy agent dir env blocked * fix: contain auto-discovered skill symlinks * fix: harden agent core sdk proxy surfaces * fix: restore approval reaction sdk compat * fix: keep live docker runs bounded * fix: keep codex oauth redirect host aligned * fix: resolve post-rebase agent runtime drift * fix: redact anthropic oauth parse failures * fix: preserve responses strict tool shaping * fix: repair agent runtime rebase cleanup * docs: redirect retired parity pages * fix: bound auto-discovered resources to roots * fix: repair post-rebase agent test drift * fix: preserve bundled provider allowlist migration * fix: preserve manifest-owned provider aliases * fix: declare photon image dependency * fix: keep provider headers out of proxy body * fix: preserve shipped env aliases * fix: refresh control ui i18n generated state * fix: quote read fallback paths * fix: preview edits through configured backend * test: satisfy core test typecheck * fix: preserve ZAI usage auth fallback * test: repair codex diagnostic test * fix: repair agent runtime rebase drift * test: finish embedded runner import rename * fix: repair agent runtime rebase integrations * test: align compaction oauth fallback expectations * fix: allow sdk-auth session models * fix: update doctor tool schema import * fix: preserve bedrock plugin region * fix: stream harmony-like prose immediately * ci: include session runtime in codeql shards * fix: repair latest rebase integrations * fix: honor explicit codex websocket transport * fix: keep openai-compatible credentials provider-scoped * fix: refresh sdk api baseline after rebase * fix: route cli runtime aliases through openclaw harness * test: rename stale harness mock expectation * test: rename embedded agent overflow calls * test: clean embedded auth test wording * test: use openclaw stream types in deepinfra cache test * fix: refresh sdk api baseline on latest main * fix: honor bundled discovery compat allowlists * fix: refresh sdk api baseline after latest rebase * fix: remove stale rebase imports * test: rename stale model catalog mock * test: mock renamed doctor runtime modules * fix: map canonical kimi env auth * fix: use internal model registry in bench script * fix: migrate deepinfra provider catalog entry * fix: enforce builtin tool suppression * fix: route compaction auth and proxy payloads safely * refactor: prune unused llm registry leftovers * test: update codex hooks session import * test: fix model picker ci coverage * test: align model picker auth mock types
270 lines
8.2 KiB
Markdown
270 lines
8.2 KiB
Markdown
---
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summary: "Tool Search: compact large OpenClaw tool catalogs behind search, describe, and call"
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title: "Tool Search"
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read_when:
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- You want OpenClaw agents to use a large tool catalog without adding every tool schema to the prompt
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- You want OpenClaw tools, MCP tools, and client tools exposed through one compact runtime surface
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- You are implementing or debugging tool discovery for OpenClaw runs
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---
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Tool Search is an experimental OpenClaw agent runtime feature. It gives agents one
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compact way to discover and call large tool catalogs. It is useful when the run
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has many available tools but the model is likely to need only a few of them.
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This page documents OpenClaw Tool Search. It is not the Codex-native tool
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search or dynamic-tools surface. Codex-native code mode, tool search, deferred
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dynamic tools, and nested tool calls are stable Codex harness surfaces and do
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not depend on `tools.toolSearch`.
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When enabled for OpenClaw runs, the model receives one `tool_search_code` tool by default.
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That tool runs a short JavaScript body in an isolated Node subprocess with an
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`openclaw.tools` bridge:
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```js
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const hits = await openclaw.tools.search("create a GitHub issue");
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const tool = await openclaw.tools.describe(hits[0].id);
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return await openclaw.tools.call(tool.id, {
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title: "Crash on startup",
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body: "Steps to reproduce...",
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});
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```
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The catalog can include OpenClaw tools, plugin tools, MCP tools, and
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client-provided tools. The model does not see every full schema up front.
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Instead, it searches compact descriptors, describes one selected tool when it
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needs the exact schema, and calls that tool through OpenClaw.
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Codex harness runs do not receive these experimental OpenClaw Tool Search
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controls. OpenClaw passes product capabilities to Codex as dynamic tools, and
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Codex owns the stable native code mode, native tool search, deferred dynamic
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tools, and nested tool calls.
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## How a turn runs
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At planning time the OpenClaw embedded runner builds the effective catalog for the
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run:
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1. Resolve the active tool policy for the agent, profile, sandbox, and session.
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2. List eligible OpenClaw and plugin tools.
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3. List eligible MCP tools through the session MCP runtime.
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4. Add eligible client tools supplied for the current run.
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5. Index compact descriptors for search.
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6. Expose either the OpenClaw code bridge or the structured fallback tools to the
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model.
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At execution time every real tool call returns to OpenClaw. The isolated Node
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runtime does not hold plugin implementations, MCP client objects, or secrets.
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`openclaw.tools.call(...)` crosses the bridge back into the Gateway, where the
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normal policy, approval, hook, logging, and result handling still apply.
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## Modes
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`tools.toolSearch` has two model-facing modes:
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- `code`: exposes `tool_search_code`, the default compact JavaScript bridge.
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- `tools`: exposes `tool_search`, `tool_describe`, and `tool_call` as plain
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structured tools for providers that should not receive code.
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Both modes use the same catalog and execution path. The only difference is the
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shape the model sees. If the current runtime cannot launch the isolated Node
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code-mode child process, the default `code` mode falls back to `tools` before
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catalog compaction.
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Both modes are experimental. Prefer direct tool exposure for small OpenClaw tool
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catalogs, and prefer the Codex-native stable surfaces for Codex harness runs.
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There is no separate source-selection config. When Tool Search is enabled, the
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catalog includes eligible OpenClaw, MCP, and client tools after normal policy
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filtering.
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## Why this exists
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Large catalogs are useful but expensive. Sending every tool schema to the model
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makes the request larger, slows planning, and increases accidental tool
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selection.
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Tool Search changes the shape:
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- direct tools: the model sees every selected schema before the first token
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- Tool Search code mode: the model sees one compact code tool and a short API
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contract
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- Tool Search tools mode: the model sees three compact structured fallback
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tools
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- during the turn: the model loads only the tool schemas it actually needs
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Direct tool exposure is still the right default for small catalogs. Tool Search
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is best when one run can see many tools, especially from MCP servers or
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client-provided app tools.
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## API
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`openclaw.tools.search(query, options?)`
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Searches the effective catalog for the current run. Results are compact and safe
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to put back into prompt context.
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```js
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const hits = await openclaw.tools.search("calendar event", { limit: 5 });
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```
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`openclaw.tools.describe(id)`
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Loads full metadata for one search result, including the exact input schema.
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```js
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const calendarCreate = await openclaw.tools.describe("mcp:calendar:create_event");
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```
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`openclaw.tools.call(id, args)`
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Calls a selected tool through OpenClaw.
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```js
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await openclaw.tools.call(calendarCreate.id, {
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summary: "Planning",
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start: "2026-05-09T14:00:00Z",
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});
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```
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The structured fallback mode exposes the same operations as tools:
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- `tool_search`
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- `tool_describe`
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- `tool_call`
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## Runtime boundary
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The code bridge runs in a short-lived Node subprocess. The subprocess starts
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with Node permission mode enabled, an empty environment, no filesystem or
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network grants, and no child-process or worker grants. OpenClaw enforces a
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parent-process wall-clock timeout and kills the subprocess on timeout, including
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after async continuations.
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The runtime exposes only:
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- `console.log`, `console.warn`, and `console.error`
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- `openclaw.tools.search`
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- `openclaw.tools.describe`
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- `openclaw.tools.call`
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Normal OpenClaw behavior still applies to final calls:
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- tool allow and deny policies
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- per-agent and per-sandbox tool restrictions
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- channel/runtime tool policy
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- approval hooks
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- plugin `before_tool_call` hooks
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- session identity, logs, and telemetry
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## Config
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Enable Tool Search for OpenClaw runs with the default code bridge:
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```bash
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openclaw config set tools.toolSearch true
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```
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Equivalent JSON:
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```json5
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{
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tools: {
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toolSearch: true,
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},
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}
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```
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Use the structured fallback tools instead for OpenClaw runs:
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```json5
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{
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tools: {
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toolSearch: {
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mode: "tools",
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},
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},
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}
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```
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Tune code-mode timeout and search result limits:
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```json5
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{
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tools: {
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toolSearch: {
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mode: "code",
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codeTimeoutMs: 10000,
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searchDefaultLimit: 8,
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maxSearchLimit: 20,
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},
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},
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}
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```
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Disable it:
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```json5
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{
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tools: {
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toolSearch: false,
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},
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}
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```
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## Prompt and telemetry
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Tool Search records enough telemetry to compare it with direct tool exposure:
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- total serialized tool and prompt bytes sent to the harness
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- catalog size and source breakdown
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- search, describe, and call counts
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- final tool calls executed through OpenClaw
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- selected tool ids and sources
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Session logs should make it possible to answer:
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- how many tool schemas the model saw up front
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- how many search and describe operations it performed
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- which final tool was called
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- whether the result came from OpenClaw, MCP, or a client tool
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## E2E validation
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The gateway E2E runner proves both paths with the OpenClaw runtime:
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```bash
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node --import tsx scripts/tool-search-gateway-e2e.ts
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```
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It creates a temporary fake plugin with a large tool catalog, starts the mock
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OpenAI provider, starts a Gateway once in direct mode and once with Tool Search
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enabled, then compares provider request payloads and session logs.
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The regression proves:
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1. Direct mode can call the fake plugin tool.
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2. Tool Search can call the same fake plugin tool.
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3. Direct mode exposes the fake plugin tool schemas directly to the provider.
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4. Tool Search exposes only the compact bridge.
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5. The Tool Search request payload is smaller for the large fake catalog.
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6. Session logs show the expected tool-call counts and bridged call telemetry.
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## Failure behavior
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Tool Search should fail closed:
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- if a tool is not in the effective policy, search should not return it
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- if a selected tool becomes unavailable, `tool_call` should fail
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- if policy or approval blocks execution, the call result should report that
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block instead of bypassing it
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- if the code bridge cannot create an isolated runtime, use `mode: "tools"` or
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disable Tool Search for that deployment
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## Related
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- [Tools and plugins](/tools)
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- [Multi-agent sandbox and tools](/tools/multi-agent-sandbox-tools)
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- [Exec tool](/tools/exec)
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- [ACP agents setup](/tools/acp-agents-setup)
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- [Building plugins](/plugins/building-plugins)
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