verify_production_provenance

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuine value beyond that by warning that PASS is not live observation, independent proof, authenticity verification, or production approval — a critical caveat that prevents an agent from over-reading the result. It does not describe the response structure beyond 'PASS', but the safety bar is already met by annotations.

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, tightly front-loaded with the core operation before the qualification. Every clause earns its place: the first sentence defines the comparison, the second bounds what its result can be taken to mean. No filler or repetition of structured data.

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 complex six-parameter tool with nested required objects and no output schema, the description covers the output caveat reasonably but says almost nothing about input expectations or how the comparison is scoped. An agent still cannot tell what to put in scope, revision, or the nested observation sub-objects from the description alone.

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 tool takes six required parameters including two nested structured objects (expected and observations). The description offers only a loose mapping ('identifiers and digests') and never explains scope, revision, work_queue_id, idempotency_key, or the observed/unknown state semantics. With such low coverage, the description is expected to compensate and largely does not.

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 names a specific operation and object: a 'closed-world consistency comparison of caller-supplied release identifiers and digests.' An agent can tell this is a comparison/verification tool rather than a fetch or mutation. It stops short of naming the expected/observations inputs or the PASS/FAIL outcome directly, so it is clear but slightly abstract.

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 'use this when' statement, but the phrase 'caller-supplied' and the closed-world framing imply the tool is invoked only when the agent already holds expected and observed values. The second sentence clarifies what a PASS result does and does not mean, which is interpretive guidance rather than invocation guidance. No alternatives exist (no siblings), so nothing more is expected there.

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