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

Annotations already mark it read-only and non-destructive, and the description adds meaningful context beyond them: it is 'Free', and it explicitly warns that returned quotes are samples from 'SAMPLE Professional 1-3' in no ranked order until the pilot shows real ones. It also discloses what is returned in each state, going beyond the safety hints.

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?

Purpose and cost are front-loaded, and the return-behavior detail is broken into the two relevant states. The middle sentence on choosing among quotes is long and reads as workflow policy rather than tool definition, but it is tied to how results should be interpreted.

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 read-only, single-parameter status check with no output schema, the description covers what is returned in both lifecycle states and flags that the data is sample/pilot content. An agent has enough to call it and interpret results, with only minor gaps around exact field shapes.

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?

There is a single required parameter and schema description coverage is 100% ('A request_id or a ticket_id'), so the schema already documents the argument. The description implies the same polymorphism ('a request for quotes or a ticket') but adds no format or syntax detail beyond the schema, so baseline 3 applies.

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 opening sentence 'Check a request for quotes or a ticket' gives a concrete verb and resource, and the later references to `ask`/`request_quotes` and `commit` implicitly place it in the lifecycle alongside its siblings. The generic name 'status' does not distinguish it, but the description compensates with enough specificity to identify the tool.

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 clearly states the two contexts in which it applies: after `ask` with `request_quotes` to view quotes, and after `commit` to view the ticket. No explicit 'do not use when...' exclusion is given, but the sequential routing to sibling tools is concrete.

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