search_nsf_awards

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

No annotations are provided, so the description carries the full behavioral burden. It only discloses the top-level return shape and does not address pagination, rate limits, authentication requirements, or read-only behavior.

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 a single, front-loaded sentence with no filler. It communicates the resource and the top-level output shape in under ten words.

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 schema fully documents all seven optional parameters, making the tool callable in principle. However, the absence of an output schema and the sparse description leave gaps around item structure, pagination, and how multiple filters interact.

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 all parameters have detailed help text in the schema, so the baseline of 3 applies. The tool description itself adds no parameter-level meaning beyond the generic 'search' context.

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 identifies a specific verb ('Search') and target resource ('NSF awards and funding') and states the top-level return shape. There are no sibling tools to differentiate from, so the lack of explicit comparison is not penalized.

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 the tool is used for searching NSF award data, but it does not state when to use it versus alternatives or mention any exclusions. With no sibling tools or additional context, the usage guidance is only implicit.

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