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

Annotations already cover the read-only, closed-world safety profile, so the description is free to add semantics instead — and it does, disclosing that the list is exhaustive and that an absent skill means no supporting evidence exists. That negative-result semantics is materially useful for an agent drawing conclusions. It does not describe ordering, detail level, or the proof-point format.

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, front-loaded with what is returned, then the use case, then the completeness caveat. No filler or repetition.

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 parameterless read tool with no output schema, the description covers what comes back (skill, ship location, proof point) and what absence means, which is enough to call and interpret it. Minor gaps remain around result size and ordering.

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?

The tool takes zero parameters, so the schema places no burden on the description and the baseline of 4 applies. Nothing parameter-related is claimed or needed.

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 states a concrete resource and its shape: every skill mapped to a ship location plus a proof point. It lacks an explicit verb and does not distinguish itself from siblings like get_profile or list_case_studies, which also surface profile-adjacent data.

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?

It gives a clear triggering context ('Use to check requirements from a job description'), which is more than implied usage. It stops short of naming alternatives or stating when another sibling tool should be preferred.

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