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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile needs no restatement. The description adds domain context about what the listing contains (verdicts, run status) but no behavioral detail such as pagination, result volume, or auth scope. With annotations covering the safety surface, a 3 is appropriate.

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 sentences, zero filler, with the primary trigger stated first and the exclusion last. Every clause earns its place; nothing restates the tool name or annotations.

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?

With zero parameters, an output schema present, and annotations covering safety, the description carries the only remaining burden: routing. It handles the interview_with_alex boundary but is silent on when to prefer this over get_project_result for a specific project's details, a minor routing gap for a low-complexity tool.

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 tool takes zero parameters, so the baseline is 4 and there is no parameter syntax for the description to clarify. Nothing in the description misleads about inputs, though it also adds no implicit filtering semantics (e.g., whether results are scoped to the authenticated user).

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 names a specific resource (the user's GoNoGo projects) and enumerates the exact content the tool surfaces: tested ideas, GO/NO-GO verdicts, and running research. Combined with the tool name, an agent can distinguish this list tool from get_project_result and interview_with_alex without opening any schema.

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?

It gives concrete user-utterance triggers ('asks about their GoNoGo projects... verdicts... whether research is still running') plus an explicit exclusion ('Do not use to start a new interview'), which routes the agent away from interview_with_alex. This is explicit when-to-use and when-not-to-use guidance, not inference.

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