govspendpulse

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

No annotations are provided, so the description must disclose behavioral traits. It includes per-endpoint costs but fails to mention read-only status, authentication requirements, rate limits, or any side effects. This leaves significant gaps for a data retrieval API.

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 structured with a clear header and bullet list of endpoints, making it easy to scan. However, it is verbose with pricing details that may not be essential for tool selection. The purpose is front-loaded, but the length slightly reduces 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?

With 12 parameters and no output schema, the description should compensate by explaining return values and parameter interactions. It only provides high-level coverage (endpoints and data sources) without specifying what data each endpoint returns or how parameters like 'cpv', 'naics', and 'keyword' relate. This leaves the agent with incomplete context for correct invocation.

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 each parameter has a basic description. The tool description adds context by listing endpoints and their costs but does not elaborate on parameter usage beyond what the schema provides. The 'action' parameter is well-defined by its enum, but others like 'keyword', 'agency', etc., lack additional semantic guidance.

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 it is a global government procurement intelligence API with 9 specific endpoints covering major data sources (USASpending, SAM.gov, TED, etc.). The name 'govspendpulse' aligns perfectly with this purpose, and the level of detail distinguishes it from sibling tools that focus on other domains.

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 should be used for government procurement intelligence but does not explicitly state when to use it over alternatives or provide exclusions. It lists endpoints and data sources, leaving the agent to infer the appropriate context without clear guidance on when not to use this tool.

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