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

Annotations already establish readOnlyHint, idempotentHint, and non-destructive safe reads, so the safety profile needs no restating. The description adds a methodological stance ('frozen', 'honest current calibration state', 'never treats a known single case as validation'), which conveys the epistemic discipline of the output. It does not, however, disclose format, freshness, or how the state is computed.

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 tight sentences, front-loaded with the returned content and closed by a defining constraint. Nothing is redundant, though the second sentence is a nuance rather than a core payload fact.

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-value detail is unnecessary, and a parameterless read-only tool has a low completeness burden. The description adequately covers what the call yields; the only missing piece is routing guidance relative to the validation siblings.

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 nothing to disambiguate and the baseline of 4 applies. The description correctly implies a parameterless snapshot rather than a scoped query.

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 verb ('Returns') plus a concrete resource list: blind-validation protocol, cohort-size gates, anti-leakage rules, and calibration state. This is clearly distinct from a generic report tool, though it never explicitly names the sibling get_validation_report that an agent would otherwise confuse it with.

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?

No statement of when to use this over the closely-named get_validation_report or run_longitudinal_validation, and no prerequisites or exclusions. The agent must infer the appropriate context entirely, which is a real gap given how many validation-related siblings exist.

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