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

Annotations declare readOnlyHint=true and destructiveHint=false, and the description aligns by framing the tool as a consult/download operation. It adds valuable context about hosting (no platform credentials needed), the payment model (prepaid credit per query), and legal compliance (LGPD), which are behavioral traits not in the annotations.

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 fairly concise at 3 sentences, but includes legal jargon (LGPD) and repetitive phrasing about the data being non-confidential and official. The core purpose is buried among compliance details, and the sentence about payment could be clearer.

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 annotations cover read-only/idempotent behavior well, so the description doesn't need to restate that. However, it omits expected outputs (what the bill download returns), the meaning of 'instalacao', and any error/edge cases. For a tool with no output schema, more specifics on the result format would improve completeness.

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%, so the description must compensate, but it provides no explanation for login_email, login_senha, or instalacao. The mention of 'sem credenciais da plataforma' is confusing given the required login parameters, and 'instalacao' is never clarified. Users must guess what these parameters mean and their format.

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 purpose: to download/consult information from Enel SP's official source (utility bills). It names the specific resource (Enel SP) and the action (consult), and implicitly distinguishes it from sibling tools like authenticate, connect, and marketplace by focusing on a domain-specific query.

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 the tool is appropriate (consulting official Brazilian sources, with prepaid credit) but does not explicitly state when NOT to use it or name alternative tools. The payment model and data sensitivity notes give some guidance, but there's no direct comparison to siblings.

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