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

With no annotations, the description carries the full burden. It usefully discloses the pipeline (verify -> seal -> hash-chained ledger), that the engine verifies while the engineer assigns the label, and that 'nothing is invented' (deterministic). It omits permission/auth requirements, error behavior, and whether the ledger write is irreversible.

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?

Purpose is front-loaded in the first sentence, followed by behavioral context and then the calc spec enumeration. Sentences are dense and jargon-laden, but each clause contributes (function, ledger behavior, accepted calc shapes) with no padding.

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?

No output schema exists, and the description does state what is reported (the disposition values CALCULATED/CONTROLLED/PROVISIONAL/OPEN). For a nested-input tool with 0% schema coverage and no annotations, it covers the critical unknown (the calc spec) and the return concept, leaving only auth/error details unstated.

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 coverage is 0% and calc is a free-form nested object, so the description must compensate. It enumerates the four accepted MFG_VERIFY spec shapes with their exact field names (tolerances/claimed_rss, dpmo/claimed_sigma, SPC limits, Cp/Cpk), which is substantial value the schema does not provide. claim is described only loosely and disposition's input semantics are implied by the output-label listing.

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 verb+resource: route an engineering claim and its numbers through a manufacturing verifier, seal, hash-chain to a ledger, and report a disposition. It is identifiable as a manufacturing-calc verification tool distinct from generic siblings like verify or find_verifier. The heavy jargon ('Conductor's shop-domain calc door') adds noise but doesn't obscure the core function.

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 implies usage ('route an engineering claim + its numbers') but never states when to prefer this over verify, find_verifier, or attest_record. There is no explicit when/when-not or alternative routing, so the agent must infer that this is the manufacturing-domain entry point from the name and description alone.

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