fix: increase maxTokens for tool probe to support reasoning models

Closes #7521

CHANGELOG.md

@@ -220,6 +220,7 @@ Docs: https://docs.openclaw.ai
 - Venice/default model refresh: switch the built-in Venice default to `kimi-k2-5`, update onboarding aliasing, and refresh Venice provider docs/recommendations to match the current private and anonymized catalog. (from #12964) Fixes #20156. Thanks @sabrinaaquino and @vincentkoc.
 - Agents/skill API write pacing: add a global prompt guardrail that treats skill-driven external API writes as rate-limited by default, so runners prefer batched writes, avoid tight request loops, and respect `429`/`Retry-After`. Thanks @vincentkoc.
 - Google Chat/multi-account webhook auth fallback: when `channels.googlechat.accounts.default` carries shared webhook audience/path settings (for example after config normalization), inherit those defaults for named accounts while preserving top-level and per-account overrides, so inbound webhook verification no longer fails silently for named accounts missing duplicated audience fields. Fixes #38369.
+- Models/tool probing: raise the tool-capability probe budget from 32 to 256 tokens so reasoning models that spend tokens on thinking before returning a required tool call are less likely to be misclassified as not supporting tools. (#7521) Thanks @jakobdylanc.
 
 ## 2026.3.2
 

src/agents/model-scan.ts

@@ -262,7 +262,7 @@ async function probeTool(
     const message = await withTimeout(timeoutMs, (signal) =>
       complete(model, context, {
         apiKey,
-        maxTokens: 32,
+        maxTokens: 256,
         temperature: 0,
         toolChoice: "required",
         signal,