list_articles

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

No annotations are provided, so the description carries the full burden. It correctly implies a read-only operation and describes filtering capabilities, but does not disclose details like pagination, rate limits, or what happens with omitted filters. The behavior is predictable but minimally documented.

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?

Two concise sentences with front-loaded purpose. Every sentence adds value: first states what the tool does, second gives a direct usage example. No wasted words.

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?

Without an output schema, the description does not explain the return format or structure. However, the tool is a simple list operation with self-explanatory parameters and no nested objects. The description is sufficient for an AI agent to invoke it correctly, though a brief note on output format would improve completeness.

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 baseline is 3. The description 'Filter by country, tag or free-text query' adds marginal value beyond the schema, which already explains matching behavior. No additional semantic guidance is provided for the parameters.

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 clearly states the verb 'list' and resource 'published articles on hellobooks.ai', specifying subtypes like 'head-to-head compare pages and curated flagship blog posts'. This distinguishes it from sibling list tools (e.g., list_competitors) which focus on different resources.

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?

Provides an explicit use case: 'Use this when a user asks "do you have a blog/article about X?"'. However, it does not mention when not to use it or provide alternatives among siblings, though the context makes alternatives obvious.

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