overview

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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses very little. It is implicitly a read-only reporting call, but nothing is said about whether metrics are computed over a trailing window, whether the snapshot is cached, what happens for a future or invalid as_of, or what the response shape looks like (no output schema exists).

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?

Two short blocks, metric list front-loaded, no redundant prose. The 'Args:' docstring formatting is slightly mechanical but costs nothing and makes the parameter easy to locate.

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-parameter aggregate tool this is close to adequate: the metric set and the date parameter are covered. But with no annotations and no output schema, the description should have clarified the measurement windows (e.g. what 'churn 30d' means, whether MRR/ARPU are point-in-time) so the agent can interpret and trust the numbers it returns.

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 0% – the input schema only declares an untyped string/null with default null. The description compensates well for the single parameter by giving its format (YYYY-MM-DD), its meaning (reference date), and a concrete effective default (2026-11-01) that the schema does not express.

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 states a concrete resource: a monthly KPI snapshot, enumerating the six metrics returned (base ativa, MRR, ARPU, churn 30d, inadimplência, chamados abertos). That is enough for an agent to distinguish it from sibling breakdown tools like churn_by_month or delinquency_aging, though it never explicitly says it is the aggregate/summary counterpart to them.

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?

Usage is only implied by the word 'overview' – an agent can infer this is the summary/dashboard call versus the per-topic siblings, but the description never states when to prefer this over churn_by_month, ticket_stats, etc., nor any prerequisite or ordering guidance.

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