get_thinking_logs

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

With no annotations, the description carries the behavioral burden. It discloses that the tool is a read operation ('Fetch') and that the result is text, which is useful. However, it does not mention auth requirements, potential large responses, or any side-effect-free assurance beyond the verb itself.

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?

Two concise sentences with no filler. The core action and return type are front-loaded, making the description easy to parse quickly.

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 fetch-style tool with one required parameter and no output schema, the description adequately explains what is returned (text). It could be slightly more complete by clarifying how this differs from download_thinking_logs, but that gap is already covered under usage guidelines.

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%, so the schema already documents env, token, and chat_id. The description adds no parameter-level detail beyond 'for a given chat', which is acceptable given the schema's completeness.

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 ('Fetch'), resource ('MGX thinking logs'), scope ('for a given chat'), and return type ('text'). It doesn't explicitly contrast with download_thinking_logs, though 'as text, suitable for agent analysis' hints at the distinction.

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?

The phrase 'suitable for agent analysis' implies this tool is for reading logs inline, but there is no explicit guidance about when to choose this over download_thinking_logs or when not to use it. Usage context is implied rather than stated.

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