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

Goes well beyond annotations: documents rate limits with the exact wait (60s), a per-account daily cap, and a full error taxonomy (send_failed, not_connected, provider_error) with per-channel semantics (Telegram bot blocked, missing connectUrl, unconfirmed email). This is exactly the behavioral context an agent needs to interpret outcomes.

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?

Front-loads the action, then packs rate limits and errors compactly. Dense but every clause carries information; only the error catalog runs long, yet it stays useful.

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 one-param test tool with no output schema, the description covers the operation, rate limits, and every failure mode, which is more than enough for correct invocation and result interpretation.

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 coverage is 100% and the single `id` param is already documented in the schema (including the "campo `id` de listar_canais" reference). The description adds no further parameter detail, so baseline 3 applies.

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?

States a specific verb and resource: "Manda a mensagem de teste do painel pelo canal." This clearly distinguishes it from sibling testar_url (which tests a URL, not a channel) and from criar_canal/listar_canais. An agent can tell exactly what it does.

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?

Implies usage (test a configured channel) and adds operational constraints (1 test/minute, daily email ceiling), which shape when it can be called. It doesn't explicitly name alternatives or exclusions, but the context is clear for a single-purpose tool.

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