docs: llm-node builtin availability — user__/todo__ now require explicit tools: opt-in (breaking), other builtin families stay implicit
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@@ -697,6 +697,28 @@ whitelist is enforced against global tools, agent custom tools, and MCP
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alike. Each entry is validated at startup against the active agent's tool
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list; an unknown entry is a startup error.
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### Built-in functions inside `llm` nodes
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Coyote's built-in function families are not all governed by the `tools:`
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whitelist the same way:
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- **`user__*` and `todo__*` require explicit opt-in.** Inside an `llm` node
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these interactive/turn-control builtins are only offered to the model if
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the node's `tools:` list names them (e.g. `tools: [user__select]`). A node
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that doesn't list them never sees them. This is deliberate: graph nodes
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usually run headless, and a structured-output node calling `user__select`
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("Ready to finalize?") suspends the node as an escalation instead of
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producing its output. The graph validator warns when a node with an
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`output_schema` explicitly opts into `user__*` tools. Approval gates are
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unaffected — use a [`approval` node](#approval) for human sign-off, not an
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`llm` node with user tools.
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- **`agent__*`, `memory__*`, `job__*`, `skill__*`, and RAG builtins stay
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implicitly available** (subject to their usual gates: `can_spawn_agents`
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for spawning, the skill policy for skills, and so on) regardless of the
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node's `tools:` list. Orchestrator graphs spawning sub-agents from `llm`
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nodes, teammate fan-out messaging, node-scoped background jobs, memory,
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and graph RAG all depend on this.
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### The `mcp_tools` field (per-server tool patterns)
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Where `tools:` selects *which servers* a node may use, an optional
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