seattletimes_sections

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the tool returns a public inventory from navigation and RSS feeds, which implies a read-only operation, but it does not explicitly mention side effects, caching, or other behavioral characteristics. This is adequate but minimal.

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: the first is a short, direct action statement, and the second adds precise detail about the returned inventory. There is no filler or redundant information, and the purpose 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 zero-parameter read-only tool with no output schema, the description is largely complete: it specifies the source (navigation and RSS feed list), the scope (public Seattle Times sections), and the criterion for inclusion (live feed). It does not describe the format of the returned list, but that is not critical for calling this tool correctly.

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?

The tool has zero parameters, so the schema is empty and there is no parameter information to supplement. The baseline for 0-parameter tools is 4, and the description adds value by clarifying what the return payload represents, though no parameter semantics are needed.

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 uses a specific verb and resource: 'Get Seattle Times sections' and further defines the output as 'the public Seattle Times section inventory: every category in the site's navigation and RSS feed list that publishes a live feed.' This clearly distinguishes it from sibling tools like seattletimes_headlines or seattletimes_news, which return 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?

The intended use is implied by the name and description—an agent would use this when it needs a list of Seattle Times sections. However, it does not explicitly state when to use it over alternatives or provide exclusion criteria, so the guidance relies on inference rather than direct comparison.

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