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## Summary When the `mcp-tool-search` experiment is enabled, chatd stops inlining connected MCP tool schemas into every generation. It instead exposes a built-in `find_tools` tool whose description carries a compact catalog of the deferred tools, and only ships full JSON schemas for tools the model has activated by searching or by calling them directly. Closes [CODAGT-760](https://linear.app/coder/issue/CODAGT-760). ## Problem Tool-heavy agent configurations (GitHub, Linear, Notion, and dev-tooling MCP servers) inline over 100k tokens of tool schema definitions into every generation. Initial uncached requests reached ~216k tokens with time-to-first-token close to nine minutes, while the model typically invokes only a handful of tools per turn. ## How it works - `decideMCPToolSearch` defers external and workspace `.mcp.json` MCP tools whenever the experiment is enabled. Native, dynamic, provider, skill, and transport tools are never deferred. - `find_tools` embeds a server-grouped catalog in its tool description (degrading to names-only, then counts-only, then a constant-size summary past a context-scaled size cap) and scores keyword matches across tool names, descriptions, parameter schemas, and server metadata. Queries can scope to one server with a `server:` prefix, and exact `names` arguments always activate. - Activation state is ephemeral: it is re-derived each generation from surviving chat history (`find_tools` results and direct calls to deferred tools), so activations naturally lapse when compaction summarizes them away. Aggregate activated schema weight is capped at 10% of the context window, shedding the least recently activated schemas first; `find_tools` shares that budget across parallel calls in one step. No new persistence. - Deferred tools stay registered for execution, so the model can call a cataloged tool directly without searching first; the schema is activated for subsequent steps. - Fail-open: the experiment being disabled, an empty candidate set, or an MCP tool named `find_tools` all disable deferral, leaving today's behavior byte-identical on the wire. - Prometheus counters/histograms track `find_tools` calls, matches, activations, and deferred token weight. - The conversation timeline renders `find_tools` calls with a collapsed search summary and expandable match list, falling back to the generic renderer on malformed payloads. ## Validation - Unit tests for the catalog, matcher, experiment-gated decision, and activation derivation; end-to-end chatd generation tests covering search-then-call, direct-call activation, experiment-off wire parity, compaction lapse, and subagent tool gating. - Storybook interaction tests for the timeline rendering and malformed-payload fallback. - Remote dogfood UAT on dev.coder.com passed: deferral with a real MCP server and Anthropic model, direct calls without prior search, activation persistence across turns, experiment-off parity, and clean UI/console. > Disclosure: Mux (AI agent) authored this PR on Mike's behalf.