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

With no annotations and no output schema, the description carries the full burden for behavioral disclosure, and it does list the fields the response will contain (source, computed date, licence, citation). It implies a static, read-only lookup with no side effects, though it doesn't say so explicitly or describe the response format beyond the field list.

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 short sentences with no filler, and the payload description is front-loaded before the usage cue. Every phrase contributes either content or routing information.

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, read-only metadata tool with no output schema and no annotations, the description supplies enough for an agent to call it correctly and know what comes back. The only small gap is that it doesn't state the response format (e.g. how the citation is structured) or confirm there are no side effects.

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 takes zero parameters, so per the baseline there is no parameter semantics to document. The description adds the mild but relevant detail that the returned provenance is scoped specifically to the RMMCompare dataset, which is the closest thing to a parameter-like constraint 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 the specific resource (the RMMCompare dataset) and enumerates the exact contents returned: source, computed date, licence, and citation. That is far more informative than a tautology, and it is clearly distinct from siblings like dataset_stats or dataset_columns, though it doesn't explicitly contrast itself with any of them.

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?

'Read this to attribute a figure correctly' implies the usage context (attribution/citation), which is meaningful guidance beyond the literal purpose. However, it names no alternatives and sets no explicit when-not condition, so an agent must infer that this is not the tool for retrieving data values themselves.

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