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

No annotations and no output schema, so the description carries the full burden and largely fails. The single useful disclosure is that the return includes a prompt, usage guide, and edge-case handling, which implies this is a static template-delivery tool rather than an analysis engine. It says nothing about what the tool does with the input, whether it generates anything new, or what the caller should expect back beyond those three named artifacts.

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 sentences, of which the opening "Turn expertise into output" is pure filler and the second is marketing copy. Only the final clause about included artifacts earns its place, and it arrives after the noise rather than being front-loaded.

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-parameter tool with no annotations and no output schema, the description should at minimum explain what the returned pack looks like and how the optional query changes it. It instead describes benefits rather than behavior, leaving the agent unable to predict the response or judge fit against the many competing menu tools.

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?

There is one optional parameter with 100% schema description coverage ("Optional user query to scope the analysis"), so the schema already defines it and baseline 3 applies. The description adds no meaning about how a query would scope a prompt pack, and "analysis" in the schema is itself somewhat at odds with a template-delivery tool.

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 leans on marketing filler ("Turn expertise into output", "produce professional results in minutes") rather than stating a concrete verb and resource. The only concrete claim is that it returns a "prompt pack" containing a prompt, usage guide, and edge-case handling, which hints at a template-delivery tool but never says what a "fridge clearing menu" actually produces. It does nothing to separate it from the many menu/F&B siblings such as fnb-menu-engineer or menu-cost-calculator.

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 audience is named ("restaurant and brand teams"), which is a weak contextual hint, but there is no when-to-use, when-not-to-use, or alternative named. An agent choosing among the dozens of F&B tools in the sibling list gets no routing signal at all.

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