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

With no annotations, the description carries the full burden and largely fails it: it never says whether the tool reads or writes, requires any auth, or is idempotent. 'Includes the complete prompt, usage guide, and edge-case handling' hints the response is bundled prompt text, which is the one useful behavioral clue, but it is framed as marketing content rather than disclosure.

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 short sentences with no bloat, but the lead sentence is wasted on a slogan and 'in minutes' is pure sales filler. Front-loading the artifact type ('prompt pack for energy/time coaching') would have made the same length far more informative.

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 one-optional-parameter tool with no output schema, the description should at minimum say what a caller gets back and how 'query' shapes it. It gestures at bundled deliverables but leaves the return shape, applicability, and relationship to sibling coaching tools unspecified.

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% for the single optional 'query' parameter, so the schema already explains that it scopes the analysis. The description adds nothing about the parameter but does not need to under the high-coverage baseline.

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 opening 'Turn expertise into output' is a slogan rather than a verb+resource statement. The second sentence reveals the artifact is a 'prompt pack' aimed at restaurant and brand teams, but the actual operation (generate a prompt? retrieve a template? coach a session?) is never stated, so an agent cannot confidently distinguish it from the many adjacent F&B coaching siblings.

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 when-to-use guidance, no prerequisites, and no mention of alternatives despite a sibling list full of F&B and coaching tools (e.g. fnb-store-diagnostic, efficiency-method-pro). The phrase 'helps restaurant and brand teams' is the only scoping signal and is far too broad to route on.

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