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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, destructiveHint=false. The description adds context about data privacy (LGPD), client responsibility, and that data is public/non-confidential, which is complementary. It does not contradict annotations. However, it doesn't specify rate limits or what 'download' precisely returns.

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 a single, dense paragraph that efficiently packs in purpose, business model, legal/ethical context, and data source. It could be more scannable with bullets, but it remains concise for the amount of context conveyed.

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 read-only, idempotent query tool with annotations, the description covers legal (LGPD), commercial (prepaid), and operational (platform-hosted) context. However, it's unclear whether 'Download' means it downloads a file or returns data; this ambiguity, combined with zero parameter semantics, leaves some gaps.

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 0% — the description does not explain any of the 4 parameters (empresa, instalacao, login_email, login_senha). While the login credentials are somewhat self-evident, 'empresa' and 'instalacao' are domain-specific and unexplained. The description adds no parameter-level semantics.

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 performs a download/consultation ('Download, consulta em fonte oficial') for Enel RJ (energy utility in Rio de Janeiro). It explains it's a paid, prepaid-credit query from official Brazilian sources. However, the name is in Portuguese and somewhat cryptic, and the description could more explicitly distinguish it from sibling tools, though it implies a clear 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 provides context on when to use (for querying official Brazilian sources, not confidential data) and constraints (prepaid credits, no credentials). However, it does not explicitly contrast with sibling tools like 'authenticate' or 'connect', so the usage guidelines are implied rather than explicit.

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