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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds that the response is a saved configuration plus computed claims and a per-language ingredient list, which is useful behavioral context, but says nothing about failure modes (invalid token, unsupported format) or whether an unspecified format falls back to the saved one.

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 compact sentences, front-loaded with what is returned, then token sourcing, then the optional override. There is mild redundancy with the schema's parameter descriptions, but no filler or repetition of the title.

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 carries the burden of describing the return payload and does so concretely (settings, claims, ingredient list per language). For a two-parameter read tool this is close to complete; only error behavior and the default when result_format is omitted are left unstated.

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 coverage is 100%, so both parameters are already documented in the schema, including the token's origin and the format example. The description largely restates those facts ('token is the last part of the recipe's primary_label path', 'compute claims ... for another format'), adding a concrete path template but no new semantics such as what happens when result_format is omitted.

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 names the exact resource: saved nutrition-facts label settings (format, visible rows, styling) plus computed claims and per-language ingredient list. It is clearly a read of a label definition, distinguishing it implicitly from recipal_start_label_render and recipal_get_label_render_status by returning settings rather than render state. The verb is only implied via the trailing 'GET /labels/{token}' rather than stated up front, keeping it from a 5.

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 explicit guidance on when to call this versus recipal_get_label_render_status or recipal_start_label_render, which are the obvious neighboring tools in a label workflow. The only usage-like hint is that the caller may optionally compute for another format, which describes a parameter rather than tool selection.

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