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

No annotations are provided, so the description carries the full behavioral burden and delivers none of it: it does not say whether the tool transforms input text, generates a template, or returns a static prompt/playbook, nor what the caller must supply. The single concrete claim ("No setup") is marketing rather than behavior, leaving the agent unable to predict the effect of a call.

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 entirely front-loaded with unearned marketing claims ("Save hours every week," "battle-tested") that occupy every sentence, so no space is used for actionable content. Brevity here reflects under-specification rather than discipline.

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 tool with no annotations and no output schema, the description should explain the transformation and expected input/output shape; instead it offers a domain-mismatched value pitch (restaurant/brand growth) that conflicts with the resume-rewrite name. Nothing an agent needs in order to invoke this correctly is present.

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 schema already explains its meaning; the description neither mentions 'query' nor clarifies how scoping the analysis changes the rewrite, so it adds nothing beyond the baseline. Baseline 3 is appropriate when the schema does the work and the description neither helps nor contradicts it.

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 ("resume rewrite tool toolkit") rather than stating a verb+resource outcome, and then pivots to "a battle-tested prompt and operating playbook for restaurant/brand growth," which is a different domain entirely. An agent reading only the description cannot tell whether this rewrites resumes or produces F&B growth playbooks, and nothing distinguishes it from resume-polish-tool, resume-optimizer, or resume-write-tool.

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 of alternatives, and no prerequisites. Claims like "No setup, works in any LLM chatbot" are sales copy, not operating instructions, and the agent is left to guess between dozens of resume-* siblings with no routing signal.

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