screenrant_sections

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

No annotations are provided, so the description carries the full burden. The description is short and only indicates that this is a read operation (get, returns inventory). However, it doesn't disclose whether the list is static or dynamic, whether it requires authentication, or any potential rate limits. The fact that it is a simple list with no parameters is implicitly clear, but there is no explicit statement about it being safe or idempotent, which would be beneficial in the absence of annotations. Overall, it is minimally transparent but lacks deeper behavioral context.

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?

The description is concise, two sentences, with no fluff. It front-loads the core purpose in the first sentence and adds a contextual detail in the second. Every sentence earns its place. However, it could be considered slightly under-specified in terms of what the inventory actually contains, but that is a completeness issue rather than conciseness.

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 tool, the description could be more complete by outlining what the typical output looks like (e.g., a list of section names and IDs) and how it aligns with the headlines endpoint. Without an output schema, the agent has no information about the structure of the response. While the description is clear on the purpose, it leaves the agent guessing about the data format and how to use it in conjunction with other tools. Given the tool's simplicity, IS completeness is borderline, but the lack of any return format information is a significant gap. A description that says 'returns a list of section identifiers with names' would have made it complete.

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 input schema has 0 parameters, so there is nothing for the description to explain. The description does not attempt to add parameter meaning because none exist. With zero parameters, the baseline is 4, and the description appropriately does not waste space on parameters. It could be argued that it could mention that no input is required, but the empty schema already conveys that.

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 clearly states the tool returns 'ScreenRant RSS sections' and specifies that it is the 'public ScreenRant RSS section inventory used by the headlines endpoint.' This is a specific verb (get) and resource (RSS sections), distinguishing it from tools like screenrant_article, screenrant_author, screenrant_headlines, and screenrant_news, which are clearly different operations. While it doesn't enumerate the individual sections, the purpose is specific enough.

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 description states it is 'used by the headlines endpoint,' which implies it should be called before fetching headlines to obtain section identifiers. However, it does not explicitly say when to use this tool vs alternatives, nor does it mention any exclusions (e.g., if the headlines endpoint doesn't require sections). It provides clear context but no direct guidance on when not to use it.

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