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owp_verify_nested_claim

Verify an AgentRequest or HumanDecision nested claim against a WorkOrder by validating identity bindings, work order digest, actor key binding, and Ed25519 signature.

Instructions

Verify a nested claim (AgentRequest or HumanDecision) against a WorkOrder.

This checks that:

  • The WorkOrder identity bindings are valid.

  • The claim's work_order_digest matches the WorkOrder.

  • The claim's actor is bound to a matching key in the WorkOrder.

  • The claim's Ed25519 signature is valid.

Args: claim_json: JSON string of the AgentRequest or HumanDecision. work_order_json: JSON string of the parent WorkOrder.

Returns: {"valid": true} if the nested claim passes all checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claim_jsonYes
work_order_jsonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently enumerates the validation checks (identity bindings, digest match, actor binding, Ed25519 signature) and specifies the success return value. However, it does not disclose failure behavior (e.g., returns {"valid": false} or raises an exception), which is a minor gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a concise intro, bulleted checks, an Args section, and a Returns line. Every sentence adds value, and the formatting aids quick comprehension. No redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides the essential information needed to invoke the tool correctly: purpose, argument roles, validation criteria, and success return format. It does not fully describe failure return semantics, but given the moderate complexity and the presence of an output schema, the description is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates by explaining each parameter: claim_json is a JSON string of the AgentRequest or HumanDecision, and work_order_json is a JSON string of the parent WorkOrder. This adds meaningful context beyond the raw schema types, though it could be more detailed about required fields within those JSON objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Verify') and identifies the resource ('a nested claim (AgentRequest or HumanDecision) against a WorkOrder'). It clearly distinguishes this from sibling tools like owp_verify_work_order and owp_verify_signature by naming the nested claim types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly implies when to use this tool: when you need to verify a nested claim against a WorkOrder. It lists the checks performed, giving context, but does not explicitly compare with alternatives or state when not to use it.

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

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