brain_chat

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations indicate the tool is not read-only, may have side effects, is not idempotent, and is destructive. The description adds no behavioral context beyond routing, and does not mention potential side effects or destructive implications, so it contributes minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly concise, consisting of two sentences plus a parameter list with clear formatting. No unnecessary words or repetition are present, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description omits any information about the output or return value, and does not explain typical use cases or how this tool fits with the many sibling brain_* actions. Given the tool's relative complexity and the large sibling set, this leaves important context missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides basic semantics for both parameters: message is a 'free-text objective' and inputs is an 'optional JSON string of structured inputs'. However, it lacks specifics like expected format, examples, or constraints, so it only partially compensates for the zero schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states that the tool runs the 'chat' action for the brain domain agent, which gives a clear verb and resource. However, it does not explain what 'chat' does beyond sending a free-text objective and optional structured inputs, leaving the exact purpose somewhat vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool compared to alternatives like brain_ask or other brain domain actions. There is no mention of conditions, prerequisites, or scenarios where chat is preferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.