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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety is fully covered. The description adds two useful behavioral facts — the content is AI-generated and results are returned newest first — but says nothing about empty results, pagination, or whether the default limit applies.

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 that front-loads the resource and its origin, then the categories, then the sort order. No filler, no repetition of the title.

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, the description carries the burden of explaining what an insight object looks like; it names the categories but not the item structure (fields, severity, timestamps, references to underlying data). For a zero-required-parameter listing tool the core intent is clear, but the return shape an agent must reason over is left unstated.

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%: the enum for `type` and the default/min/max for `limit` are documented in the schema itself. The description only restates the same four categories in prose, adding no filtering syntax or semantics beyond what is already structured. 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?

The description names a specific resource — AI-generated insights from the dashboard — and enumerates the four categories (anomalies, recommendations, trends, digests) plus ordering ('newest first'). It implicitly separates this from the numeric breakdown siblings, but never explicitly distinguishes it from painel_get_trends, which overlaps with the 'trend' category.

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?

There is no explicit 'use this when…' statement or named alternative; guidance is only implied by the enumeration of insight categories and the newest-first ordering. An agent must infer that this is the place to look for AI-generated interpretation rather than raw data, and must guess how it relates to painel_get_trends.

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