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

Annotations already declare it as a safe read (readOnlyHint true, destructiveHint false, openWorldHint false), so the safety profile is covered. The description adds that the response is the complete, untruncated record including cited sources — meaningful return-shape context given there is no output schema. It omits any note on rate limits or error behavior for missing IDs.

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?

Three tight sentences: the core capability first, the use case second, the ID source last. No filler and nothing buried.

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?

For a simple two-parameter read-only fetch with no output schema, the description covers purpose, prerequisite lookup, and the shape of the returned payload. An agent has everything needed to select and invoke it correctly.

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?

Schema description coverage is 100%, with both id and workspaceId already documented, including their sources (list_chats, list_workspaces). The description restates where to get the chat ID but adds no format or constraint detail beyond the schema, so baseline 3 applies.

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?

States a specific verb ('Get') and resource ('one AI chat execution') and enumerates the returned content (answer text, question, model, metadata, sources). The word 'FULL' and the pointer to list_chats clearly separate it from the sibling that only lists chats.

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?

'Use this to analyze what an AI model actually said' supplies the intent, and 'Get chat IDs from list_chats' routes the agent to the prerequisite sibling. It does not state when NOT to use it or other alternatives, but the context is unambiguous.

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