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x402 Header Decoder, Payload Linter & 402 Flow Simulator

simulate_x402_flow
Read-onlyIdempotent

x402 Header Decoder, Payload Linter & 402 Flow Simulator: OpenChainGraph compute node (compliance_control). Deterministic OpenChainGraph compute node. By default (compute:"auto") inputs are computed server-side on Cloudflare Workers for gpu:false nodes with a registered kernel; compute:"browser" forces client-side execution and returns a browser delegation URL instead. gpu:true nodes always delegate to the browser. Inputs are processed transiently to compute the response and are not stored, logged, or retained. Use synthetic or anonymised inputs only. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-22-agentic-payments-protocol-comparator, art-25-a2a-agent-card-validator. Output feeds: art-03-x402-settlement-modeler, art-18-mcp-developer-readiness-scorecard, ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/art-26-x402-payload-decoder-flow-simulator.html FV-status (published/proven/still-trusted for this spec): /fv-status/8498d0819c941fdb731f9e10f5d93ee929026919cb111a42149821b48b5ac180.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched. Output schema: call describe_tool("simulate_x402_flow").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
computeNoCompute mode (v0.4 Compute Binding). "auto" (default) = server for gpu:false nodes with registered kernels; "server" = force server-side; "browser" = always return browser delegation URL. gpu:true nodes always delegate.
parent_hashesNoexecution_hash values from upstream ChainGraph AP2 artifacts to chain from (sets chain.parent_hashes in the export).
parent_tool_idsNotool_id values matching parent_hashes, in the same order.
policy_parametersNoInput parameters for this tool's decision function. For gpu:false nodes with a registered kernel, these are computed server-side when compute is "auto" or "server". See the tool's manifest for field names.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "decoded_type": {
      -      "type": "string"
      -    },
      -    "errors": {
      -      "type": "integer"
      -    },
      -    "findings": {
      -      "items": {
      -        "properties": {
      -          "level": {
      -            "type": "string"
      -          },
      -          "msg": {
      -            "type": "string"
      -          }
      -        },
      -        "type": "object"
      -      },
      -      "type": "array"
      -    },
      -    "has_accepts": {
      -      "type": "boolean"
      -    },
      -    "is_json": {
      -      "type": "boolean"
      -    },
      -    "mode": {
      -      "type": "string"
      -    },
      -    "network": {
      -      "type": "string"
      -    },
      -    "passes": {
      -      "type": "integer"
      -    },
      -    "scheme": {
      -      "type": "string"
      -    },
      -    "score": {
      -      "type": "integer"
      -    },
      -    "warnings": {
      -      "type": "integer"
      -    }
      -  },
      -  "type": "object"
      -}New value: +null
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "decoded_type": {
      +      "type": "string"
      +    },
      +    "errors": {
      +      "type": "integer"
      +    },
      +    "findings": {
      +      "items": {
      +        "properties": {
      +          "level": {
      +            "type": "string"
      +          },
      +          "msg": {
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "has_accepts": {
      +      "type": "boolean"
      +    },
      +    "is_json": {
      +      "type": "boolean"
      +    },
      +    "mode": {
      +      "type": "string"
      +    },
      +    "network": {
      +      "type": "string"
      +    },
      +    "passes": {
      +      "type": "integer"
      +    },
      +    "scheme": {
      +      "type": "string"
      +    },
      +    "score": {
      +      "type": "integer"
      +    },
      +    "warnings": {
      +      "type": "integer"
      +    }
      +  },
      +  "type": "object"
      +}
  3. Added

TDQS

C2.9/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/non-open-world, so the bar is lower, and the description still adds real value: transient processing with no storage, logging, or retention; a requirement to use synthetic/anonymised inputs only; deterministic execution; browser delegation behavior for gpu:true nodes; and an AP2 artifact export carrying execution_hash. It omits any latency or failure-mode details, but the data-handling and delegation disclosures are concrete and non-obvious.

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

Conciseness2/5

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

The text is padded with provenance boilerplate, a long FV-status hash URL, and the aside 'a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched.' These consume prime real estate before anything tells an agent what the tool does, so the structure is not front-loaded on the purpose.

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

Completeness3/5

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

With 4 parameters, a nested open object, and no output schema, the description should say more about what a simulation returns; it instead defers with 'call describe_tool(...)'. The manifest pointer for policy_parameters and the upstream/downstream artifact chain partially cover the gap, but the result shape and the linter's pass/fail semantics remain undescribed.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents compute, parent_hashes, parent_tool_ids, and policy_parameters; the description's compute-mode repetition adds nothing new. Its one contribution is pointing to the tool manifest for the opaque policy_parameters field names, which is mild compensation. Baseline 3 applies.

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

Purpose3/5

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

The description leads with a restated title ('x402 Header Decoder, Payload Linter & 402 Flow Simulator') and labels itself as an 'OpenChainGraph compute node (compliance_control)' without ever explaining what simulating an x402 flow actually produces or how it differs from siblings like decode_x402_payment, lint_x402_v2_migration, or model_x402_settlement. The upstream/downstream artifact lists (art-22, art-25 → art-03, art-18) do give some positional differentiation within the chain, which lifts it above pure tautology.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus the many adjacent x402 tools, nor any trigger conditions. The only operational guidance is the internal compute-mode mechanic (auto/server/browser), which is invocation mechanics, not tool selection guidance.

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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