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

Annotations already provide readOnlyHint=true and openWorldHint=true, indicating a safe read operation with external data access. The description adds that inputs are validated server-side and returns a structured deliverable. However, it does not disclose specifics like permission requirements, rate limits, or behavior on invalid inputs. Given the annotations cover the safety profile, the description adds marginal but acceptable behavioral context.

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 and front-loads the purpose and target audience. It includes a concrete reference case and mentions server-side validation. However, the phrase 'Gapup agent-payable C-suite expertise (CFO)' is somewhat jargon-heavy but still concise. No wasted sentences, but could be slightly tighter.

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 high complexity (7 parameters, nested objects, no output schema) and low schema coverage, the description is incomplete. It does not describe the output format ('structured, audited deliverable' is vague), nor does it explain the significance of the reference case or how the deliverable is structured. The agent lacks crucial context for effective use.

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 14%, and the description does not explain the parameters beyond 'send the documented case fields.' Most properties in the input schema lack descriptions, and the tool description adds no further meaning. For a tool with 7 parameters including nested objects, this is insufficient for the agent to understand what data to provide.

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 indicates the tool performs tax optimization ('Optimisation fiscale') and returns a structured audited deliverable. It references a specific case (Pennylane) and targets C-suite expertise (CFO). While the verb is implied rather than explicit, it is clear that the tool analyzes and produces a tax optimization report. It does not explicitly differentiate from sibling tools like tax_compliance_multi or ma_tax_efficiency_mapper, but the focus on CFO-level optimization is somewhat distinctive.

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 suggests usage for tax optimization by CFOs (C-suite expertise) but provides no direct guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It does not mention conditions or contexts where this tool is preferred, leaving the agent to infer usage from the purpose.

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