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

Annotations already declare read-only, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral information by specifying the shape of each returned item (last value, variation, period, favorable direction), which matters because there is no output schema. It says nothing about ordering, size, or caching, but the core disclosure is solid.

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?

A single sentence, front-loaded with the verb 'Devolve', that packs the content list and the returned fields without a wasted clause. The colon construction keeps the enumeration readable.

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?

With no output schema and no parameters, the description carries the burden of telling the agent what comes back, and it does: seven questions plus per-indicator last value, variation, period, and favorable direction. The remaining gap is relational — an agent still cannot tell from this text why it should pick get_pillars over get_panorama or get_bulletin.

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?

The tool takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline of 4 applies; no parameter-level gap exists.

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 payload: returns seven questions about the Brazilian economy (growth, inflation, employment, public accounts), each paired with the indicators that answer them. The resource and content are unambiguous. It does not, however, distinguish itself from near-neighbours such as get_panorama or get_bulletin, which likely cover similar overview territory.

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: the description makes clear this is a fixed overview of the seven pillar questions, so an agent can infer 'use this for a high-level economic summary'. There is no explicit when-to-use, when-not-to-use, or pointer to an alternative sibling when a single indicator or a broader panorama is wanted.

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