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

Annotations only declare readOnlyHint=true; the description adds real behavioral context beyond that: the result is 'compiled with any arguments' and the agent must 'follow the returned instructions immediately' and pass the stated property ID onward. It doesn't discuss return shape details or failure modes, but it substantially enriches the agent's understanding of the call's downstream effect.

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?

Four sentences, front-loaded with purpose, each carrying distinct information (definition, justification, ID source, post-call protocol). Dense but no filler; the final sentence is long but earns its place by encoding required follow-up behavior.

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 read-only, two-parameter tool with full schema coverage and no output schema, the description covers purpose, invocation source, and what to do with the result. The one mild gap is that it doesn't characterize the returned instructions' format, though the 'follow immediately' directive is sufficient for correct use.

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%, so both parameters (skill, arguments) are already documented, including the list-skills provenance of the ID. The description restates the skill-ID sourcing and the arguments notion but adds no syntax or format detail beyond the schema, so baseline 3 applies.

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?

Specific verb+resource ('Fetch an AIdata skill's full instructions') plus a plain-language definition of what a skill is ('the team's authored report/analysis playbooks'). It is clearly distinguishable from list-skills, which only enumerates IDs.

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?

Explicitly states the selection condition ('prefer this over improvising when a request matches a skill') and routes the agent to the correct upstream sibling ('Get skill IDs from list-skills'). It also instructs on post-call behavior, so nothing about when/how to invoke is left to inference.

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