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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and reach are covered. The description adds useful context that these are 'public editorial or RSS' sections, but says nothing about caching, rate limits, or whether the set is exhaustive.

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 sentence with no filler, and the key scoping qualifier ('accepted by cbsnews_headlines') is placed where it is immediately visible. Nothing in the sentence is redundant with the tool name.

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 discovery tool with an output schema, the description does the necessary job of framing what the returned sections are and who consumes them. It does not clarify the value format (slug vs. id) or whether the list is flat, but the output schema can carry 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 for the description to clarify; the baseline for a parameterless tool is 4. No syntax or filtering behavior is described because none exists.

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 a specific resource (CBS News sections) and scopes it precisely as those accepted by cbsnews_headlines, which distinguishes it from siblings like cbsnews_article or cbsnews_news. It lacks an explicit verb (e.g., 'List'), so the operation is inferred rather than stated, keeping it short of a 5.

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 cbsnews_headlines' implies the intended workflow: fetch valid section values to pass into the headlines tool. However, it never states when to call this versus cbsnews_headlines directly, nor any exclusion conditions, so the guidance is implied rather than explicit.

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