spraay_research_demographics_datasets

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds cost ($0.001 USDC per call) and a directive to pass arguments directly. This provides useful behavioral context beyond annotations, though it does not detail response behavior (output schema covers that).

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 consists of four short, front-loaded sentences: purpose, cost, safety, and usage instruction. Every sentence adds value without redundancy, making it efficient and easy to parse.

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 the low parameter count and existence of output schema, the description covers purpose, cost, and safety. However, it fails to explain the 'rows' parameter or any usage specifics like rate limits. The instruction 'pass the listed fields directly as typed arguments' is vague but acceptable for a simple tool.

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 descriptions are minimal ('q parameter', 'rows parameter') with 100% coverage but no meaningful explanation. The description implies 'q' is a keyword but does not explain 'rows' (likely page size). No additional semantics are provided beyond what the parameter names suggest.

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', the resource 'Data.gov datasets', and the method 'by keyword'. This distinguishes it from sibling tools like spraay_research_demographics_census (specific census data) and other research search tools, providing a specific and actionable purpose.

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 for searching Data.gov datasets by keyword but does not explicitly state when not to use it or mention alternatives like spraay_research_demographics_census for census-specific data. The cost and read-only hint provide context but no exclusion criteria.

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