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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds that these are 'public editorial or RSS' sections, which lightly characterizes the data source. It does not address authentication, rate limits, or return behavior, but with an output schema present, the main gap is minor.

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?

A single, front-loaded sentence with no filler. Every word contributes to identifying the resource and its downstream use.

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 lookup tool with an output schema, the description provides enough context: it identifies what is returned and why it matters for rawstory_headlines. It does not need to describe return values since the output schema covers that.

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 takes zero parameters, so there is no parameter semantics to explain. Per the rubric, the baseline for 0 params is 4. The description correctly avoids implying any inputs.

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 names the specific resource ('Raw Story public editorial or RSS sections') and ties it directly to a sibling tool ('accepted by rawstory_headlines'). This distinguishes it from rawstory_headlines, rawstory_article, and rawstory_news without needing to open schemas. A verb like 'List' is missing, but the noun phrase clearly identifies the tool's output.

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 phrase 'accepted by rawstory_headlines' implies the tool should be used to discover valid section identifiers for filtering that sibling. However, it does not explicitly state when to call this tool versus alternatives, nor does it give any exclusions or prerequisites. Usage is implied rather than spelled out.

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