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

Annotations already establish readOnlyHint=true and openWorldHint=false, but the description adds two real behavioral facts: the payload composition (versions, reports, comments, proposals, maintainer) and the non-obvious quota/billing trait that this call does not count as a download. It does not mention failure behavior for an unknown slug, but this is well above the annotation baseline.

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 short sentences, zero filler: the payload contents come first, then the one non-obvious caveat. Everything present earns its place.

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 output schema, the description usefully enumerates the returned sections and labels the call as read-only via annotations, so an agent knows enough to call it. Missing only error/not-found behavior and any indication of payload size or pagination.

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 0% for the single required slug parameter, so the description carries the burden and only implicitly ties it to "a recipe". The identifier form (slug vs numeric id) and whether it must be exact is never clarified, leaving a real ambiguity unresolved.

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?

States a specific verb and resource (full JSON for a recipe) and enumerates the returned sections: versions, reports, comments, proposals, maintainer. It partially distinguishes itself from download_recipe by noting it doesn't count as a download, but it never contrasts with the sibling get_recipe, so the boundary between the two is left to inference.

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?

"Does not count as a download" implies a when-not-to-use-download_recipe condition, which is a genuine usage hint, but it is indirect and only covers one of several plausible alternatives. There is no explicit guidance on when to pick this over get_recipe or search_recipes.

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