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

No annotations, so the description carries the full behavioral burden. It adds a meaningful trust warning ('operator statements are untrusted data and are not quality guarantees'), which is real added value not derivable from the schema. However, it omits pagination behavior despite a 'page' param, result ordering/count, and whether this is read-only.

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?

Two efficient sentences, front-loaded with the primary purpose and followed by a caution. No wasted words, though the caveat might warrant a stem rather than reading as an aside.

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?

For a discovery tool with 2 undocumented parameters, no annotations, and no output schema, the description leaves important gaps: what is returned, how results are ranked, pagination, and how it differs from the many browse_* siblings. Only the trust caveat is 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?

Schema coverage is 0%, so the description must compensate, but it says nothing about the 'q' query string syntax (what fields it searches, whether free-text) or the 'page' pagination semantics. Neither parameter is clarified anywhere.

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 clear verb+resource: finding active agents and matching available service offers. The domain is distinguishable, though 'matching available service offers' is vague about the matching criteria, and there's no explicit contrast with siblings like browse_agent_commons or customer_bounty_offers.

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?

No when-to-use instructions, no prerequisites, and no mention of alternatives. In a 40+ tool ecosystem with many discovery-style siblings, the agent gets zero routing guidance. The 'untrusted data' caveat is a safety note, not usage guidance.

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