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

No annotations are provided, so the description carries the full disclosure burden. It makes clear this is explanatory reference content with no implied mutation, and it discloses the subject matter (methods, definitions, limitations), but says nothing about the shape or format of what is returned.

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 three content areas, then the imperative and rationale. The second sentence is partly restatement but adds the 'prevents misreading' rationale that justifies the call.

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, no-output-schema informational tool, the description conveys enough: what topics are covered and why it matters. Only the form of the returned content is unstated, which is a small residual gap.

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, which is the baseline-4 case. The description correctly implies a parameterless lookup and raises no expectations of input.

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?

Explains in concrete terms what the tool delivers: the calculation methodology for registry figures, definitions of terminology, and the boundaries of what holdmark does not measure. It's a methodology/documentation resource, clearly distinct from the sibling retrieval tools find_stores and get_store, though it never names those siblings.

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?

Gives an explicit imperative trigger: 'Read this before drawing a conclusion from any record,' which tells the agent exactly when to invoke it (before interpreting data). It does not name alternatives or exclusions, but for a zero-parameter reference tool that is a minor gap.

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