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

Annotations already declare readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. "Treat it as reference data" usefully signals that returned content is informational rather than instructions (a prompt-injection cue), but nothing is said about result size, pagination, or what the `file` selector does.

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 compact sentence plus a short directive, with the key selection constraint front-loaded. Nothing is wasted or repeated.

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 two-parameter read tool with no output schema, the core usage story is present, but the undocumented `file` parameter and the absence of any expectation about returned content leave an agent guessing on non-default calls.

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 0% and the description only indirectly covers `skillName` ("exact ID"). The optional `file` parameter is left completely unexplained in both schema and description, which is a real gap for a retrieval tool where an agent must decide whether to pass 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 states a specific verb and resource ("Retrieve an official AWS skill") and names the exact provenance of the key ("the exact ID returned by aws_knowledge_search with agent_skills topic"). That clearly separates it from the sibling search/read tools an agent might otherwise pick.

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 implies the workflow (search first with the agent_skills topic, then retrieve by the returned ID) and tells the agent how to treat the result ("reference data"). It does not explicitly say when to prefer aws_knowledge_read or what happens if the ID is wrong, so no explicit exclusions.

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