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

With no annotations, the description carries the full burden. It discloses real behavior: an LLM cascade with automatic fallback, enrichment sourced from the official website, and cache return on already-enriched records (implying idempotency and cost/latency). It does not state whether enrichment persists/overwrites data, permission requirements, or latency expectations.

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 tight sentences, front-loaded with the core action and source, then the caching behavior. No filler or repetition.

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?

An output schema exists, so return-value explanation is not needed. However, for an AI-driven enrichment operation with no annotations, the description omits persistence side effects, permissions, and cost/latency implications an agent would want before invoking it.

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% and the single required cnpj parameter is undocumented in both schema and description. 'a partir do site oficial' hints that the CNPJ drives an official-website lookup, but format and validation are left to inference; with only one obvious identifier this is partially compensated.

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 (enrich) and resource (company dossier) plus the mechanism (AI/LLM cascade) and data source (official website). An agent can distinguish it from read-only siblings like get_company_details or search_companies, though no sibling is named explicitly.

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?

Implied usage only: call it when a company dossier needs AI enrichment. The note that it returns the cache if already enriched gives useful context about repeat calls, but there is no explicit when-to-use-versus-alternatives guidance relative to get_company_details.

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