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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds that it returns a 'structured, audited deliverable' and that inputs are validated server-side, which provides useful behavioral context. However, it does not discuss async behavior (the async parameter exists) or other operational details, so it remains moderate.

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 front-loaded with the core purpose, but it is lengthy and includes promotional language ('Gapup agent-payable C-suite expertise (CFO)') and multiple repetitive example questions. While the examples are useful, the text could be more concise without sacrificing guidance.

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?

The tool has nested objects and no output schema, and the description gives a good sense of the deliverable through example questions. However, it does not explain the return format, the async execution path, or the detailed input structure, leaving the agent to rely on the schema alone. It is adequate but not complete.

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 25% (only async has a description). The description offers example prompts that hint at needed information (company, period, budget amounts, categories) but does not explain the structure of entity and budgetContext or map examples to schema fields. The phrase 'documented case fields' is vague and insufficient for correct parameter construction.

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 it performs budget variance analysis ('Analyse d'écart budgétaire') and specifies concrete use cases such as explaining drivers, recommending corrective actions, creating forecast scenarios, and generating board-ready memos. This distinguishes it from generic financial tools and aligns with the CFO-focused positioning.

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 explicit example prompts that illustrate when to use the tool (variance explanation, corrective actions, forecast revision, memo creation, quick wins). This gives clear context for application, though it does not mention alternatives or exclusion cases, so it misses the threshold for a 5.

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