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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: it reports on ALL sources, surfaces pipeline lag and plain-language notices about missing scheduled updates. It does not cover caching, latency, or staleness thresholds, keeping it short of a 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 sentences, front-loaded with the resource scope and then the usage trigger. The middle clause enumerates output fields that the output schema already documents, which is mild redundancy, but the sentence still reads efficiently and wastes little.

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, read-only diagnostic tool with an output schema present, the description supplies everything an agent needs: what it reports, that coverage is all sources, and when the result matters. Return-value detail is a bonus rather than a necessity here.

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 there is no parameter semantics to explain and the baseline is 4. The description correctly avoids inventing arguments and instead spends its words on the returned content.

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 states a specific resource and scope — freshness status for every data source Jawz reads — and enumerates the exact contents (release date, latest observation date, cadence, age, stale/unavailable flags). An agent can distinguish it from get_weekly_data_releases (scheduled release calendar) or get_drift_alerts (model drift) without opening any schema.

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?

It gives an explicit triggering condition: use it when the reliability of a figure depends on how current its underlying data is. That is a clear context for selection, though it does not name alternatives or state when the tool is unnecessary.

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