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

Annotations (readOnlyHint: true, openWorldHint: true) already signal a non-destructive, open-ended operation. The description adds useful context about server-side validation and the 'audited' nature of the deliverable, but does not elaborate on return format or any limitations. With no output schema, more detail on behavioral expectations would be beneficial, but the annotation coverage reduces the burden.

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 relatively short but mixes French and English, includes cryptic segments like 'Gapup agent-payable C-suite expertise (CMO)', and uses a bullet-like reference case. It is not optimally front-loaded or entirely clear, but each sentence adds some information, so it is acceptable.

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 5 parameters, nested objects, and no output schema, the description is insufficient. It does not explain the deliverable's structure beyond the reference case example, nor does it mention how to handle async behavior (despite the schema describing it). It lacks essential guidance for a tool of this complexity.

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 only 20% (only async has a description). The description does not explain the meaning of company, dataSources, targetSegments, or repositioningFocus beyond 'send the documented case fields', which is vague. The reference case gives a high-level idea but does not map to parameters. This fails to compensate for the low schema coverage.

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 indicates the tool produces a structured, audited deliverable synthesizing customer voice, with a concrete reference case showing personas, pain points, and messaging repositioning. This distinguishes it from sibling tools like positioning_strategist or customer_marketing. However, it lacks a direct verb+resource phrasing like 'generates a customer voice synthesis report', relying on the title for the core purpose.

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 implies usage contexts through the reference case and target audience (CMO), but does not explicitly state when to use this tool versus alternatives. It says 'send the documented case fields' which hints at expected inputs, but provides no exclusions or comparisons to sibling tools. This is adequate but not explicit.

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