result

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves results but doesn't describe error handling (e.g., what happens if the URL is invalid or the request isn't ready), performance characteristics, or side effects. This leaves significant gaps in understanding how the tool behaves in practice.

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 well-structured and concise, with a clear purpose statement followed by Args and Returns sections. Every sentence adds value without redundancy, making it easy to parse quickly. The formatting enhances readability without unnecessary verbosity.

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 moderate complexity (single parameter, no output schema, no annotations), the description is adequate but incomplete. It covers the basic purpose and parameter meaning but lacks details on usage context, error cases, and return value specifics. For a tool interacting with queued requests, more behavioral transparency would improve completeness.

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 description adds meaningful context for the single parameter: 'url: The response_url from a queued request.' This clarifies that the URL is not arbitrary but specifically from a prior queued operation. With 0% schema description coverage, this compensation is effective, though it could specify format or source details.

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 tool's purpose: 'Get the result of a queued request.' It specifies the verb ('Get') and resource ('result of a queued request'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'status' or 'generate', which might have related functions.

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 provides minimal guidance on when to use this tool. It mentions 'queued request' but doesn't explain what qualifies as such or when to choose this over alternatives like 'status' (which might check request state) or 'generate' (which might initiate requests). No explicit when-not-to-use or prerequisite information is included.

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