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

Beyond the readOnly/openWorld annotations, it discloses a rendering residential proxy, a page ceiling of 10 and ~80 results per page, and precise cost terms ($0.02 USDC per successful call via x402, failed calls free). These are material operational facts an agent cannot infer from structured fields.

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?

Content is front-loaded with the resource and its fields before pricing, and every clause carries information. The single semicolon-dense sentence is slightly heavy but wastes little.

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 an output schema present, return values needn't be explained, yet the definition adds proxy, pagination ceiling, and billing terms. Nothing an agent needs to invoke it correctly is missing.

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 coverage is 100%, so the baseline is 3; the description adds value by restating category examples and pinning pagination to pages 1-10 with ~80 results each, giving the 'page' parameter concrete meaning. It does not add syntax detail beyond the schema, so it doesn't reach 5.

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?

States a specific resource (Clutch.co top B2B service providers in a category) and enumerates the returned fields, so an agent knows exactly what data this yields. It is distinguishable from siblings like goodfirms_companies or g2_software_categories by naming its source directory and category-path model.

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?

Usage context is clear: pull ranked providers within a category such as web-developers or it-services, with page-based pagination. It lacks explicit when-not-to-use guidance or direct routing to sibling directories (goodfirms, g2), so it stops short of full alternative handling.

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