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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior. The description adds a genuine epistemic constraint beyond that: the result is 'descriptive' and must never be framed as scientific validation, which materially shapes how an agent should present output. It does not mention the 1–10,000 record bounds or batch/idempotency implications.

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?

A single compact sentence with no filler, and the core claim plus the epistemic caveat are front-loaded. It is arguably too terse for the structural complexity, but nothing is wasted.

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?

An output schema exists, so return values need not be explained, and the annotations cover the safety profile. However, for a tool that ingests up to 10,000 nested outcome records with zero schema documentation, the description leaves the agent without guidance on input shape or scale.

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 0%, and the single 'records' parameter has a non-trivial nested shape (claimId, predictedStatus, outcome enum, recordedAt) plus minItems 1 and maxItems 10000. The description says nothing about the expected record structure, the allowed outcome enum values, or the size constraints, so it fails to compensate for the coverage gap.

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 clear verb (produces) and resource (descriptive calibration) with the input source named (recorded claim outcomes). This distinguishes it from the sibling recording tools like record_consultation_outcome and record_prashna_outcome, though it does not explicitly name which sibling to prefer.

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 explicit when-to-use or when-not-to-use guidance, and no reference to alternatives such as get_validation_report, get_synthesis_validation_status, or the record_* tools. Usage is only implied by the name and the mention of 'recorded claim outcomes'.

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