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

Beyond the readOnly/idempotent annotations, it discloses substantive behavior: semantic validation is a local deterministic dry run, no request is submitted, no worker assigned, no result delivered, and no persistence or proof verification occurs. That dry-run, no-side-effect profile is real added value, though it is buried in repetition rather than stated once cleanly.

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?

The same boundary statement is restated three times ('No request is submitted...', 'Prepared computation on caller-supplied data only', 'This current operation is a bounded computation on caller-supplied data'), inflating the text with near-duplicate disclaimers. The strong first sentence is front-loaded, but the remaining sentences do not earn their space.

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?

Behaviorally it is fairly complete for a read-only dry-run tool and there is no output schema to describe, so return values are a non-issue. The gap is elsewhere: with five required, undocumented parameters and no sibling disambiguation, an agent cannot confidently construct a correct call from this 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% across five required parameters, and the description never explains what any of them mean. It alludes to 'caller-supplied data', 'task', and a 'supported computation' (loosely hinting at product_key), but gives no guidance on mode, requested_outcome, requesting_agent_id, or the 16-property task object, 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?

The first sentence gives a concrete verb and resource: validate a task and prepare its fixed POST request, so the agent knows this is a dry-run preparation step rather than an execution. However, it never differentiates itself from the many adjacent siblings (agent-work-order-rail, decision-packet-rail, paid-workflow), and the product_key enum even contains 'agent-work-order-rail', which actively muddies its scope.

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?

Usage is only implied: the description establishes a validation/preparation phase before a separate submission ('Existing credentials... remain required for any separate action'), which hints at when the tool fits in a workflow. It never names an alternative tool or an explicit when-not-to-use condition, so routing against the 25 siblings is left to inference.

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