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get_staleness_report

Identify records overdue for re-verification by ranking oldest-verified records first with per-bucket counts, ensuring data reliability before use.

Instructions

Report record verification decay: records ranked oldest-verified first, with per-bucket counts. Use to find matters overdue for re-verification before relying on them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNoOptional ISO date (YYYY-MM-DD) to age records against. When omitted, days_stale is not computed and records are returned sorted by verification date only.
limitNoMaximum records to return. Default 25.
datasetNoOptional dataset bucket filter, such as included, review, or global.
Behavior4/5

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

No annotations provided, so the description alone must convey behavior. It describes sorting (oldest-verified first) and per-bucket counts, and the schema covers as_of omission effects. No destructive actions are implied, and the description gives a good overview of the report's output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The key action and use case are front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a reporting tool with three optional parameters and no output schema, the description covers purpose, use case, and key behaviors. It lacks details on pagination or exact return structure, but those are not critical given the schema descriptions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by mentioning 'per-bucket counts,' which relates to the dataset parameter and adds reporting context beyond the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reports record verification decay, ranking oldest-verified first with per-bucket counts. It distinguishes itself from siblings like list_records or search_records by focusing on verification staleness.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use to find matters overdue for re-verification before relying on them,' providing a clear use case. It does not explicitly contrast with alternatives, but the context is sufficient.

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

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