stateedge

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 mentions endpoints and prices but lacks information on rate limits, authentication, data freshness, or whether actions are read-only, which is minimal transparency.

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 header and bullet-like list of endpoints, but it includes unnecessary details like prices and lengthy endpoint descriptions. It's adequate but could be more concise.

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 tool's complexity (11 parameters, many endpoints), the description provides a high-level overview but lacks details on return values (no output schema), parameter combinations, and required parameters. It is adequate but not fully complete.

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?

With 100% schema description coverage, the input schema already documents all 11 parameters in detail. The description adds no extra parameter meaning beyond listing endpoints, so baseline 3 is appropriate.

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 sports analytics and intelligence API' and lists specific endpoints like injury reports, ATS analysis, matchup predictions, etc., which precisely defines the tool's purpose and differentiates it from sibling 'pulse' tools that cover 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 lists endpoints but provides no explicit guidance on when to use this tool versus alternatives. No prerequisites or context for selection are offered, leaving the agent without clear usage direction.

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