search_paperswithcode

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

No annotations are provided, so the description carries the full burden. It states the tool performs a search but does not disclose whether it is read-only, any authorization needs, rate limits, or response format. While the tool is likely safe, the description lacks behavioral details beyond the basic action.

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 two sentences, front-loaded with the verb and resource, and uses bullet-like examples efficiently. Every word adds value, with no redundancy or fluff.

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?

Given no output schema, the description does not explain what the response contains (e.g., titles, abstracts, links). It mentions caching via the use_cache parameter but lacks details on pagination or data freshness. Adequate for basic understanding but could be richer.

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%, so baseline is 3. The description adds value by providing concrete examples for the query parameter (e.g., 'transformer', 'diffusion', 'llm'), which helps the agent craft effective search terms beyond the schema's generic 'Search keyword'.

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 verb 'Search' and the resource 'ML/AI research papers by keyword', with specific examples like 'transformers, diffusion models, LLMs, computer vision, NLP'. This distinguishes it from siblings like get_paperswithcode_latest and get_paperswithcode_trending, which serve different purposes.

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 implies usage context (keyword search) but does not explicitly say when to use this tool versus alternatives like get_paperswithcode_latest or get_paperswithcode_trending. No when-not-to-use or alternative names are provided, leaving the agent to infer from sibling names.

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