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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses almost nothing: no indication of what data the analysis consumes, whether it is deterministic, how long it runs, or what form the result takes. Phrases like "structured, repeatable workflow" and "copy-paste prompt pack with examples" hint at a template artifact rather than clarifying runtime behavior, which could mislead about what invoking the tool actually does.

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 sentences, but nearly every clause is marketing copy ("production-ready", "run today", "copy-paste prompt pack with examples") that conveys no operational information. The space is spent on positioning rather than on what the tool does.

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 tool with no annotations, no output schema, one undocumented-in-prose parameter, and a large ambiguous sibling set, the description should at minimum state input expectations and output shape. Instead it describes itself as a delivered prompt pack, leaving the agent uncertain whether this is a computation, a template fetch, or a workflow guide.

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 description coverage is 100% for the single optional "query" parameter, so the schema already documents it; per the baseline rule this lands at 3. The description adds no meaning about how a query scopes the analysis (time range, segment, metric), so it neither helps nor compensates.

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 restates the tool name ("sales analyze tool system") and adds only an audience mention ("marketing and operations leaders") rather than a specific verb-plus-resource statement of what the analysis produces. It gives no basis for distinguishing it from sales-board-tool, sales-diag-tool, sales-formula-tool, or sales-tpl-tool, all of which sit in the same namespace.

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 when-to-use guidance, no prerequisites, and no named alternative. With four close siblings (analyze/board/diag/formula/tpl variants) the agent is left to guess which entry point to pick.

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