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

No annotations are provided, so the description carries the burden. It states what information is returned (source, date, licence, citation) and implies a read-only informational tool, but it does not explicitly state that no side effects occur or that the data is static. For a simple provenance lookup, this is adequate but not exhaustive.

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 no wasted words. The first sentence lists the content, the second gives the use case. Information is front-loaded and every sentence 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 parameterless tool with no output schema, the description covers the essential content and purpose. It is sufficient for an agent to know when to call it and what to expect. Minor gaps like whether the date is current or how to interpret the licence are not critical for basic usage.

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 the schema is empty (100% coverage). Per the rubric, a baseline of 4 applies when there are no parameters to explain. The description correctly does not attempt to add parameter details.

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 clearly states the tool provides source, computed date, licence, and citation for the Hardenvo dataset, with a specific purpose (attributing a figure). It is distinct from siblings like dataset_columns or dataset_stats by nature, though it does not explicitly name alternatives. The verb 'Read' and resource are clear.

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?

The description gives a concrete usage context: 'Read this to attribute a figure correctly.' This implies when to use it (when citing or attributing) but does not explicitly mention when not to use it or compare it with alternatives. The guidance is present but could be more explicit about exclusions.

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