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

No annotations are supplied, so the description carries the full burden. It does disclose the shape of the result (name, description, files) and scopes the operation to "your" skills, which signals an owner-limited read, but it says nothing about pagination, ordering, size limits, or whether shared/imported skills are included.

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?

One short sentence with the verb and resource front-loaded and no filler. It could be marginally sharper by stating scope or result limits, but nothing in it is wasted.

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?

There is no output schema and no annotations, so the description is the only place to learn the return shape, and it covers that at a high level only. For a simple zero-parameter list tool this is close to adequate, but pagination behavior and scope boundaries remain undocumented.

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 there is nothing for the description to disambiguate. The baseline of 4 applies; the parenthetical about returned fields is a small bonus rather than parameter semantics.

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?

"List" is a specific verb applied to a specific resource ("ai_agent skills"), and the parenthetical names the fields returned. This cleanly separates it from skill_get, skill_create, skill_update, and skill_delete in the sibling set, though it never explicitly states the contrast.

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?

Usage is only implied: an agent can infer this is the enumeration counterpart to skill_get. There is no explicit when-to-use, no mention of alternatives, and no note about whether skill_get should be preferred when a specific skill is already known.

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