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

Annotations already carry the safety profile (readOnlyHint, openWorldHint=false, idempotentHint, destructiveHint=false). The description adds value beyond that: the cost context ('free') and the concrete return shape (importer, discovery state, materialized coverage) plus an explicit negative (no dataset rows). No contradiction with annotations.

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 with zero filler. The purpose and cost are front-loaded, and the second sentence conveys both return scope and an explicit exclusion. Every phrase earns its place.

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-parameter listing tool with annotations covering the safety profile, the description tells an agent what it returns and what it deliberately does not return. The only gap is not naming the sibling tools to fall back on for dataset access, but that is a minor omission for a simple coverage-inspection 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?

The tool has zero parameters and 100% schema coverage, so the 0-param baseline of 4 applies. The description correctly implies no input is needed to inspect coverage, which is effectively the full extent of parameter semantics required here.

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 verb ('inspect/list') and resource (official source scopes covering federal, state, city, police, education) and states what it returns (importer, discovery state, materialized coverage). It partially distinguishes itself by noting it does not return dataset rows, which separates it from querying/sampling siblings. It does not explicitly distinguish itself from list_imported_datasets or the search tools, so it falls just short of a 5.

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 gives a clear usage context — use it to check which official source scopes AgentNative covers, and that it's free of cost. However, it never names alternatives or states when NOT to use it beyond the implicit 'does not return dataset rows' exclusion. Given the crowded sibling set (list_imported_datasets, search_discovered_datasets, get_coverage_status), an agent must infer the routing.

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