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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. Beyond that the description adds real behavioral context: it recomputes rather than trusts, and it flags two specific failure modes (tampering, stale factor lineage), which tells the agent what a non-clean verification means. It does not discuss cost or failure behavior on malformed JSON, but the supplied output schema covers the response shape.

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, front-loaded with the operation and followed by the input contract and the flagged outcomes. No filler or restatement of the title. Slightly dense in the second sentence, where the input format and the failure signals are packed together.

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 one-parameter read-only tool with an output schema and fully specified safety annotations, the description supplies what structured data cannot: what 'verify' means here (hash recomputation plus conservation checks) and what a negative result indicates. Little is missing beyond an explicit pointer to the sibling used when no prior result exists.

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 property is an untyped string named 'result_json', so the description carries the burden. It does that by specifying that the value must be the *prior result object* serialized as JSON, which is exactly the semantic the schema lacks. It stops short of saying whether the full envelope or an inner field is expected.

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 verb ('Recompute') and a specific resource ('a prior inventory's audit hash and conservation checks'), which is far more precise than the title 'Verify result'. It implicitly distinguishes itself from calculate_inventory by operating on a *prior* result rather than computing a new inventory, though it never names that sibling explicitly.

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 states the calling convention ('Pass the prior result object as JSON') and the outcome the caller should care about ('tampering or stale factor lineage is flagged'), which implies this is the check to run before trusting a stored result. It gives no explicit when-not-to-use guidance and does not point to calculate_inventory or any other alternative for recomputation from scratch.

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