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

Annotations include readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description says it 'validates' and 'returns' results, implying a non-destructive operation, but does not clarify whether it has side effects (consistent with readOnlyHint=false). It does add useful context: it is a paid resource with a specific price, and it mentions 'concrete blockers' as a potential output. No contradiction with annotations, but the description could be clearer about side effects.

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 description is concise and front-loaded: it starts with the purpose, then adds exclusions and cost. No redundant sentences or fluff. It is appropriately sized for the information conveyed.

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 tool that validates a graph (nodes/edges) with cost and latency constraints, and returns an execution order or blockers, the description should explain what the inputs represent and what the output looks like. It does not. It also does not describe error handling or edge cases. Given the absence of an output schema and zero parameter descriptions, this is insufficient.

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%, so the description must compensate by explaining the parameters. It does not. The description mentions 'workflow dependencies and execution constraints' but does not map these to nodes, edges, max_total_cost, or max_total_latency_ms. An agent cannot infer what the fields mean from the description alone.

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 ('validates'), a resource ('caller-supplied workflow dependencies and execution constraints'), and the output ('deterministic execution order or concrete blockers'). It also identifies its domain ('reliability quality / quality unknown') and explicitly lists excluded use cases, distinguishing it from legal, identity, and other adjudication tools. This is specific and helps an agent understand 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?

The description gives explicit exclusions ('Do not use for legal, identity, sanctions, fraud, contractual, or regulatory adjudication') and states its intended domain. It does not name alternative sibling tools, but the domain and exclusions provide clear guidance on when to use it. The cost note also informs usage decisions.

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