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

Goes well beyond the annotations by disclosing the data's provenance and limits: one model on one date, not a ranking, no cross-assistant claims, no traffic forecast, and full anonymisation (no brand, domain or competitor). It also confirms 'reads a content file and queries no model', which concretely grounds the readOnlyHint/openWorldHint=false declarations rather than merely restating them.

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?

Front-loaded with the core statement and the content inventory, followed by scope caveats and finally the usage trigger. The long enumerated first sentence is dense, and the 'Read-only: it reads a content file' clause partially repeats the readOnlyHint annotation, but overall there is little wasted text.

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?

With no output schema and no parameters, the description carries the burden of telling the agent what comes back, and it does so exhaustively: the fields returned, the grouping structure, the statistic with its range, and the disclaimer note. An agent knows what to expect without calling it.

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 the baseline is 4; there is nothing for the description to disambiguate. It correctly implies no configuration is needed, though it does not explicitly say the output is fixed/static.

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?

Specific verb and resource ('Returns Citehound's anonymised sample citation run as readable text'), followed by an enumeration of exactly what is included: model, date, per-question counts, three question groupings, naming rate with sweep range, and limits. It distinguishes itself from ranking/forecast siblings by negation, though it never names the closest sibling (get_sample_report) directly.

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 a clear triggering condition: 'Use when the user wants to see what a citation result looks like, or asks how much the same question varies between tries.' That covers two concrete user intents. It stops short of naming alternatives (get_sample_report, get_benchmark) or stating when not to use it.

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