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

With no annotations supplied, the description carries the full behavioral burden and does not meet it: nothing is said about what happens on invocation, whether a resume must be supplied, what is returned, or whether anything is persisted. 'Ships as a full prompt kit with step-by-step instructions and a 30-day support promise' is commercial packaging, not behavioral disclosure. The only mild credit is the implicit hint that the tool produces a workflow/kit rather than performing sorting itself.

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?

The text is short but front-loads the least useful sentence — the 'restaurant & brand intelligence pack' framing — ahead of the only function-related phrase. The support-promise and prompt-kit clauses consume space without helping an agent decide or invoke. Every sentence is marketing rather than specification.

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 no-annotation, no-output-schema tool, the description must at minimum say what it does and what the result is; it does neither, and its stated domain conflicts with the tool's name. An agent has no basis to decide between this and the many resume-* siblings. The definition is incomplete on the essentials.

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 baseline of 3 applies when the schema already does the work. The description never mentions the query parameter or what it should contain, adding no meaning beyond the schema. Since the parameter is optional and fully documented in-schema, the gap is tolerable rather than fatal.

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 only phrase that describes the tool's function is 'generate a ready-to-use resume sort tool workflow', which merely restates the name. The leading claim, 'AI-powered restaurant & brand intelligence pack', points at an unrelated domain and actively muddies what the tool is for. An agent cannot tell from this text whether it sorts resumes, builds a prompt kit, or does restaurant analysis.

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 exclusion, and no alternative named, despite many near-siblings such as resume-check-tool, resume-audit-tool, resume-match, and resume-optimizer. 'No prompt engineering needed' is a sales claim, not a routing rule. The mismatched food-and-beverage framing would steer an agent to the wrong domain entirely.

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