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

With no annotations provided, the description carries the burden of disclosing behavior. 'List published articles' signals a read-only operation over a public content set, and the filter behavior is described. It does not mention pagination, ordering, or response shape, but for a simple content-listing tool that is a minor omission rather than a material gap.

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 sentences with no filler: the first scopes the resource and content types, the second lists filters and provides the user-phrase hook. Every word earns its place and the most important information is front-loaded.

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 low-complexity read-only lookup with zero required parameters and high schema coverage, the description covers purpose, trigger phrasing, and filter options. It does not describe the exact return value structure, but no output schema exists and the shape of an article list is reasonably inferable, so the gap is minor.

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%, with detailed parameter documentation covering substring matching, case-insensitivity, defaults, limits, and the country enum. The tool description merely summarizes the filters (country, tag, free-text) without adding meaning beyond the schema, so the baseline score of 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?

States the precise resource — published articles on hellobooks.ai — and names the two content types (head-to-head compare pages and flagship blog posts). This cleanly distinguishes it from sibling list_* tools such as list_videos or list_plans by naming exactly what it returns.

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 this tool: when the user asks 'do you have a blog/article about X?', and mentions the available filters. It does not explicitly state when-not-to-use or name alternatives, but given the diverse sibling list_* tools, the clear trigger phrase provides solid usage direction.

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