mashable_headlines

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

With no annotations, the description carries the full transparency burden. It discloses useful behavioral context: the data comes from a single public category RSS feed, is 'fresh,' and excludes sponsored posts, shopping roundups, reviews, and video pages. This tells the agent what it will and will not receive beyond the raw parameter meaning.

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?

Three short sentences, each earning its place: the first states the action, the second defines the data source, and the third lists exclusions. The most important identifying 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 tool with one fully enumerated parameter, the description is largely complete: it states source, freshness, and content exclusions. Without an output schema, it could say more about the exact return shape (e.g., title-only strings vs. structured article objects), but 'headlines' plus the source description provides a workable mental model.

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% and the single parameter is already described as 'Mashable category slug' with a full enum. The description adds only marginal context by linking the section to a 'public category RSS feed,' but it does not add meaning beyond what the schema already provides.

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 opens with a specific verb and resource: 'Get Mashable section headlines,' and clarifies the exact scope with 'from one public category RSS feed.' It does not explicitly contrast with sibling tools like mashable_news or mashable_sections, but the 'section' framing and exclusion list make the core purpose clear.

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?

Usage is implied rather than stated: the presence of the required 'section' parameter and the phrase 'Mashable section headlines' tells an agent when this tool is appropriate. However, there is no explicit guidance about when to prefer this over alternatives such as mashable_news, mashable_sections, or other news headline tools.

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