Free sample of a causal chain

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether this returns sample data vs real data, whether it is read-only, the format of the response, or any limits. 'Free' implies no cost but nothing more is disclosed about behavior.

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?

The description is extremely short (single clause), which is efficient, but it borders on under-specification rather than conciseness. It front-loads the main idea but sacrifices clarity for brevity.

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 0 parameters, no annotations, no output schema, and a minimal description, the tool provides very little guidance to an agent. Given it returns a sample of complex data (a 'causal chain with reading and rule'), the description should explain what the sample is, how it relates to cadeia_causal, and what the user can expect from the sample.

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?

There are 0 parameters and schema coverage is 100%, so there is nothing for the description to add. Per the rubric, 0 params earns a baseline of 4, which is appropriate here since there are no ambiguity or undocumented parameters to resolve.

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 'A complete chain with its reading and rule, free.' is vague. It references 'chain', 'reading', and 'rule' which suggests this is a sample of a causal chain dataset, but it does not clearly state what 'cadeia_obter_amostra' (get sample chain) does, nor does it use a clear verb+resource structure. It distinguishes poorly from sibling 'cadeia_causal' which likely returns the actual chain data.

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?

No clear guidance on when to use this tool. The context suggests it provides a free sample, which could be useful for preview/testing, but the description does not state this explicitly or compare against alternatives like cadeia_causal. The 'free' qualifier hints at a demo purpose but is too implicit.

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