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

Annotations include destructiveHint:true, so the safety profile is partially known. The description adds what is created (bank account, session, transactions, entries, matching rules) but does not disclose whether it overwrites existing data or what the destructive aspect entails. No contradiction with the annotation.

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 two concise sentences, front-loaded with the action verb and resource, and efficiently enumerates the created artifacts. No filler or repeated schema 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?

For a demo-seeding tool, the description covers purpose, contents, and use case. It lacks mention of return values and specifics about destructive side effects (e.g., whether it resets data), but the annotation and schema compensate partially. A 4 reflects the small gaps in side-effect disclosure.

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%, as the only parameter (empresaId) has its own description. The tool description adds no additional parameter semantics, but the baseline is 3 due to high schema coverage. The parameter is simple and optional, so no major gap.

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's action ('Cria dados fictícios de demonstração') and resource ('conciliação contábil'), listing specific artifacts (bank account, session, 20 transactions, 19 entries, matching rules). This distinguishes it from sibling reconciliation tools that perform real operations, not demo data generation.

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 explicitly says 'Útil para testes e onboarding', giving a clear context for when to use the tool. It does not explicitly mention alternatives or exclusions, but the use case is clear and distinct from the operational reconciliation siblings.

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