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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered and the bar is lower. The description adds that the output is a set of businesses plus their replies, but says nothing about pagination, empty results, or response shape for a lookup that could return many rows.

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 short sentences, front-loaded with the outcome and followed by the input requirement; nothing is redundant. The interrogative phrasing of the first sentence is slightly awkward but does not cost clarity.

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 two-parameter read tool with no output schema, the definition covers purpose and input provenance but leaves the return structure and the meaning of status_key unaddressed. It is adequate to attempt a call but not to predict or interpret the result.

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 carries the burden, and it only partly does: it names where both IDs come from (request_quotes) but never explains what status_key actually identifies or its expected format. Provenance is useful added meaning, yet the ambiguous status_key remains a real gap.

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 states the resource and outcome concretely: it returns which businesses answered a quote request and what they said. It is phrased as a question rather than a verb+resource, but an agent can still distinguish it from the sibling request_quotes, which it names as the source of inputs.

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?

It gives a clear workflow prerequisite: the request_id and status_key must come from request_quotes, which implies that tool must be called first. There are no explicit exclusions or conditions for when not to use it, so it stops short of full routing guidance.

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