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

No annotations are provided, so the description carries the full burden. It does disclose the key behavioral trait that the won/lost figures are scoped to the last 30 days, which is real added value. It says nothing about permissions, how stages are defined, whether 'open' excludes certain statuses, or the response shape.

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?

One sentence, no filler, and the metric definitions are front-loaded. It reads as a fragment rather than a declarative 'returns X' statement, but nothing is wasted.

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 no output schema, the description must explain the return values, and it partially does by naming per-stage counts and won/lost totals. It leaves ambiguity about whether won/lost are also per-stage, what stage set is used, and whether the 30-day window is fixed or configurable, which matters for a reporting tool with no structured return documentation.

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% for the single parameter, so the description must compensate. Saying 'a shop has' implies shop_id scopes the whole report, but it adds no format, default, or validity notes beyond the self-explanatory name and uuid format in the schema.

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 a specific resource and metric set: open requests per stage plus won/lost counts over a 30-day window. It is clearly an aggregate/reporting tool rather than a record fetcher, which distinguishes it from requests_list and requests_get. It stops short of naming that distinction explicitly.

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?

There is no 'use this when' statement and no alternative is named, despite many plausible siblings (requests_list, requests_get, reports_quoteWinRate, reports_run). An agent must infer that this is the pipeline-summary tool rather than the record-listing one from the phrasing alone.

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