getRevenueProductSegmentation

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

Annotations already declare readOnlyHint and idempotentHint, so the description's burden is lower. The description adds that the tool provides 'insights into performance of individual product segments', which aligns with the read-only nature. No contradiction. However, it does not disclose any additional behavioral traits beyond what annotations already cover.

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?

The description is very concise: two sentences that clearly state the tool's purpose and its value. No unnecessary words or redundancy. Each sentence adds meaningful information.

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?

Given the tool's simplicity (3 parameters, one required) and the presence of annotations covering safety, the description provides enough context for an AI agent to understand the tool's purpose and expected output (revenue breakdowns by product line). However, with no output schema, describing the return structure more explicitly (e.g., mention that the 'structure' parameter affects output format) would enhance completeness.

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?

The input schema has 100% coverage; all parameters have descriptions that explain their purpose (symbol, period, structure). The description does not add extra meaning beyond these schema descriptions. Baseline score of 3 is appropriate.

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 clearly states the tool provides 'detailed revenue breakdowns by product line', specifying the verb 'Access' and the resource 'revenue breakdowns by product line'. It distinguishes itself from the sibling 'getRevenueGeographicSegmentation' by focusing on product lines rather than geographic segments.

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?

The description provides no guidance on when to use this tool vs alternatives (e.g., getRevenueGeographicSegmentation). It does not mention prerequisites, context, or scenarios where this tool is preferred. Given the many sibling tools, explicit usage guidance would be helpful.

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