compare_papers

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only specifies input requirements (each paper should have title and abstract) but does not explain what the comparison produces, whether it is a read-only analysis, or any side effects. The agent cannot anticipate the output or side effects from the description alone.

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 extremely concise, with a front-loaded purpose and a clear list of required fields. Every sentence earns its place; there is no fluff or redundancy. The structure is effective for quick parsing.

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?

The description is minimal and lacks essential context for correct invocation. It does not explain what kind of comparison is performed (e.g., similarity scoring, thematic overlap), how many papers are expected (though 'multiple' implies at least two), or any potential limitations. While the presence of an output schema may cover return values, the description does not prepare the agent for making a suitable comparison request.

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 schema description coverage is 0%, so the description is the only source of parameter meaning. It adds valuable semantics by specifying that each paper object must contain 'title' and 'abstract', which constrains the otherwise permissive schema (array of arbitrary objects). This helps the agent construct valid input, though it could go further by indicating optional fields or the expected number of papers.

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 states a clear verb ('Compare') and resource ('research papers'), which distinguishes it from sibling tools like summarize_paper or extract_methodology that focus on single-paper analysis. However, it does not specify what aspect is compared (e.g., abstracts, methodology, findings), leaving some ambiguity about the tool's exact scope.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or context signals that would help an agent decide between compare_papers and other tools like get_paper or summarize_paper. The verb 'compare' implies a general use case, but no direct guidance is given.

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