Resumo geral

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the shape of the returned metrics in prose, which is valuable since there is no output schema, but it says nothing about the read-only nature, permission requirements, aggregation basis, or how the silent/cited classifications are determined.

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 sentences: the first front-loads exactly what the panorama contains, the second gives the usage cue. No filler and nothing redundant.

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 zero-required-parameter, read-only aggregate with no output schema, the description successfully conveys what comes back and when to reach for it. The main residual gap is the total silence on the optional date-range filter, which an agent might not realize applies to this tool.

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 100% — both 'desde' and 'ate' are documented in the schema with format and timezone (horário de Brasília). The description never mentions the period filter, so it adds nothing beyond the schema. Baseline 3 is appropriate.

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 enumerates concretely what the tool returns: counts of monitored politicians who cited Flávio, asked for votes, or stayed silent, plus post totals and a breakdown by office. That is a specific, differentiated role versus detail-oriented siblings such as detalhes_politico or listar_posts. It stops short of an explicit verb+resource framing (it is a noun phrase, 'Panorama do Flaviômetro'), so it is clear but not exemplary.

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?

'Use como ponto de partida' gives a clear contextual instruction: call this first, then drill down with the more specific siblings. There are no explicit exclusions or named alternatives, but the positioning as an entry point is unambiguous for an agent orienting itself.

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