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

The description goes beyond the read-only/idempotent annotations by disclosing exact output composition: three Federal Register records, deterministic aggregates over the latest 25 documents, direct record URLs, provenance, and rate-limit status. This gives the agent a clear picture of what the call returns and how it behaves.

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, front-loaded with the main use case, and packed with concrete output details. No wasted words or redundant restatement of the tool name or annotations.

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 no-parameter sampling tool with no output schema, the description tells the agent why to use it, what it returns, and what operational details matter (rate-limit status). Nothing essential is missing.

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 zero parameters and schema coverage is 100%, so the schema requires no explanation. The description still adds relevant context about the fixed nature of the output, which is sufficient for a parameterless tool.

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 states a specific purpose: sampling current US regulatory activity via a free, no-auth tool. It clearly distinguishes itself from paid/full-query siblings by emphasizing the free, no-auth, three-record sample output.

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?

It explicitly says when to use the tool: for current US regulatory activity or to evaluate AgentNative before paying. It does not name sibling tools explicitly as alternatives, but the 'before paying' framing implies the boundary against paid access.

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