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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so safety is covered. The description then adds genuinely useful behavior beyond that: each row carries separate last-successful-observation and indexed-content watermarks, and each row states which timestamp drives the status. It stops short of describing pagination or result volume, so 4 not 5.

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 dense sentences, front-loaded with what the tool returns, with the optional filter mentioned last. Terminology is jargon-heavy (watermarks, cadence) but compact and waste-free rather than padded.

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?

There is no output schema, so the description carries the full burden of describing return values, and it does so reasonably: per-dataset rows, status class, age in days, dual watermarks, and the driving timestamp. For a read-only single-parameter diagnostic tool this is nearly sufficient; only ordering or volume expectations are unstated.

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?

Schema description coverage is 100% and the single parameter's enum values are already documented in the schema, so the baseline is 3. The description only restates the filter as optional and re-lists the same four values, adding no new semantics about filtering behavior or defaults.

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?

States a specific resource and verb-equivalent scope: per-dataset freshness across the federal data hub, with the status vocabulary and the two watermark types named. An agent immediately knows this is the source-cadence freshness report. It does not name or differentiate itself from any sibling, but the sibling list contains no close competitor, so 4 rather than 5.

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?

There is no when-to-use statement, no prerequisite, and no alternative named. The only guidance is that the status filter is optional, which is a parameter detail rather than usage direction. Nothing tells the agent when this tool is the right choice versus the many search/dossier siblings.

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