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

No annotations are supplied, so the description carries the full disclosure burden, and it delivers only packaging claims ('includes the complete prompt, usage guide, and edge-case handling'). It says nothing about what the tool returns, whether it generates content, side effects, or limits. It is not misleading, but it discloses almost no behavior.

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 promotional filler ('Turn expertise into output', 'in minutes') that never front-load what the tool actually does. The length is modest, but the content is not earning its place because it omits the functional core.

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 no annotations, no output schema, and no functional detail, an agent has almost nothing to decide from. For a tool competing in a dense F&B cluster, the definition should state the concrete artifact produced and when to prefer it over siblings.

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 a single optional 'query' parameter with 100% schema description coverage, so the schema already defines it. The description adds no meaning about how the query scopes the output, but with full schema coverage the baseline of 3 applies.

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 restates the name ('food guide pro prompt pack') and adds marketing framing ('Turn expertise into output', 'produce professional results in minutes') rather than a specific verb and resource. An agent cannot tell what output it actually produces or how it differs from the many food/restaurant siblings such as restaurant-menu-engineering or takeout-menu-optimizer.

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 names an audience ('restaurant and brand teams'), which hints at context, but gives no when-to-use conditions, prerequisites, or alternatives. With dozens of overlapping F&B siblings in the catalog, the absence of any routing guidance is a real gap.

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