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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so the safety profile is covered. The description adds the paid-resource fact and x402 price, which is a meaningful operational constraint, and it clarifies the output as a deterministic order or blockers. It does not discuss auth, rate limits, or other failure behavior, so it only modestly exceeds the 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?

Three sentences, front-loaded with the core action/result, followed by scope exclusion and pricing. No redundant restatement of the schema or annotations.

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 graph-validation tool with four parameters and no output schema, the description establishes purpose, domain, exclusions, and cost, which is solid. But it leaves the cryptic 'result unverifiable' unexplained, gives no example or concrete blocker structure, and provides no guidance on how constraints are applied; the sibling-heavy environment also lacks alternative pointers. Thus adequate but not complete.

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 description only gestures at 'workflow dependencies and execution constraints' without mapping them to nodes/edges or max_total_cost/max_total_latency_ms. The schema itself has rich property constraints, but the description does nothing to clarify the exact semantics of enabled, cost, latency_ms, or constraints relative to each other, so the burden is not compensated.

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 ('validates') and resource ('caller-supplied workflow dependencies and execution constraints'), and names the concrete result ('deterministic execution order or concrete blockers'). The domain qualifier ('reliability quality / result unverifiable') and the do-not-use list position it against the many sibling control-plane tools, though no sibling is named.

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?

Gives an explicit intended context ('reliability quality / result unverifiable') and a clear when-not list covering legal, identity, sanctions, fraud, contractual, and regulatory adjudication, which helps prevent misrouting. It does not point to a named alternative tool such as workflow_dependency_validator or safety-oriented control planes, so it stops short of full routing guidance.

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