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

No annotations are provided, so the description carries the disclosure burdenfully. It states that this is an unpaid check, that it does not trigger a purchase, and that a matching hash means nothing new to buy, giving the agent a clear model of the call's behavioral contract. It does not detail error cases or exact return semantics, but that is largely covered by the output schema and it has no clear side effects.

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?

The description is a few sentences and immediately establishes the key purpose, use case, and the optional input. Every clause or event contributes information: the free-check relationship, the return of hashes and timestamps, the interpretation of a matching hash, and the name constraint. No noise, no redundancy.

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?

Given a single optional input, its covered semantics, and an existing output schema, the description supplies what an agent needs in order to decide whether to call it and what kind of output to expect. It does not specify the format of 'validUntil' or how an agent should interpret the presence of multiple tools in the response, but the output schema plus the compact context interpretation leaves little to ask.

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 input schema alone only declares a string property named 'name' with no description, so the description adds significant value by stating that it is an 'optional name for one tool'. This tells the agent that filtering to a single tool is allowed and that omitting it produces the tool's non-filtered result. Lacks additional detail about name format or expected values, but this is adequate for a single optional parameter.

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 identifies the tool's function: a 'freshness check' for all data tools, returning content hash and validUntil of the current default result. It distinguishes itself from data-purchase siblings by framing itself as a free pre-purchase validation step, making the resource and action unmistakable.

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 phrase 'before you pay' and the conditional 'if the hash matches... nothing changed' make the intended use case explicit: consult this tool before deciding whether buying new data is necessary. It notes that passing a name restricts the check to one tool, though it does not explicitly define when not to use it or name alternative tools.

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