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

With no annotations, the description carries the full burden. It discloses that the tool supplies a prompt/playbook and requires no setup, but it does not explain what invoking it returns, how the optional query affects output, or any limitations.

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 opening 'Save hours every week' is marketing filler and the purpose is not front-loaded. The description is short but spends its second sentence on an unclear restaurant/brand-growth claim rather than the interview-debrief function.

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 one-parameter prompt/playbook tool, the definition still lacks a clear explanation of what the tool actually produces and how the query is used. With no annotations or output schema, the description should do more to make the tool callable with confidence.

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 single optional 'query' parameter is already documented as scoping the analysis. The description adds no parameter semantics, but the baseline is 3 when the schema fully covers the parameter.

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 says the toolkit provides a 'prompt and operating playbook,' but it does not clearly state the specific action or output for an interview debrief. The added phrase 'for restaurant/brand growth' is confusing and unrelated to the tool name, so an agent cannot reliably distinguish this from siblings like interview-replay or jiaozi-interview-coach.

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?

There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. 'No setup, works in any LLM chatbot' is a convenience claim, not usage guidance.

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