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

Annotations already declare the read-only, non-destructive profile, so the bar is lower; the description still adds useful context by enumerating the returned fields and noting the tool is 'Free'. It does not mention pagination or result-size behavior, but for a simple list tool this is strong additive context with no contradiction.

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?

Front-loads the core purpose, then adds outcome categories, return fields, usage, and cost in tight succession. It is dense and slightly list-heavy but every clause carries information; nothing is padded.

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?

With no output schema, the description compensates by naming the returned fields (id, name, category, summary, inputs), and it covers purpose, selection conditions, follow-up tool, and cost. An agent has everything needed to decide and call.

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 coverage is 100% and there is a single optional parameter already fully documented, so the baseline is 3. The description's 'filters such as author_title, mentions_company and AI sentiment' refer to the skills' inputs rather than this tool's category parameter, so it adds no syntax or semantics for the parameter itself.

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?

States a specific verb and resource ('List API Direct's ready-made skills: playbooks that chain the data tools') and explains what a skill is, which no sibling name conveys. It is clearly distinguishable from the many raw data tools and from get_skill, the companion that runs a chosen skill.

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 says when to use it ('when a request matches one of those goals') and names the next step and alternative ('then run the chosen skill with get_skill'). The routing to get_skill leaves nothing to inference.

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