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, yet it never says whether the tool reads, mutates, or generates anything, whether it is safe to call repeatedly, or what the response looks like. The phrase "Includes the complete prompt, usage guide, and edge-case handling" vaguely implies it returns a prompt pack rather than analyzing a resume, but this is never stated clearly enough to rely on.

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 short sentences, but most of the content is promotional filler ("Turn expertise into output", "in minutes") rather than function. The size is fine, yet almost none of the words earn their place because the front-loaded sentence says nothing about the tool.

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 explanation of the return value, the description is the only source of behavioral information and it fails to supply it. For a tool whose purpose and output are both non-obvious, this leaves critical gaps for correct invocation.

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 parameter with 100% schema description coverage, so the schema already explains 'query' as an optional scoping input. The description adds nothing about what the query should contain or how it changes the result; baseline 3 applies when the schema does the work.

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 mostly restates the name ("This resume check tool") and pads it with marketing language ("Turn expertise into output", "professional results in minutes") that never states the concrete action or deliverable. It does not distinguish this tool from the many resume siblings (resume-audit-tool, resume-match, resume-optimizer, resume-polish-tool, resume-sort-tool). An agent cannot tell what it actually produces from the text.

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 or when-not-to-use guidance and no named alternative, despite a crowded resume-* family where differentiation is essential. The only contextual hint is an audience reference ("restaurant and brand teams"), which is not selection guidance and is oddly mismatched with a resume tool.

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