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AINumbers Fintech Intelligence Suite

Agentic Payments Protocol Comparator

compare_agentic_rail_protocols
Read-onlyIdempotent

Agentic Payments Protocol Comparator: OpenChainGraph compute node (routing_policy). 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. Output feeds: art-16-google-ap2-mandate-builder, art-23-visa-trusted-agent-protocol-inspector, art-24-mastercard-agentic-token-builder, art-25-a2a-agent-card-validator, art-26-x402-payload-decoder-flow-simulator, ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/art-22-agentic-payments-protocol-comparator.html FV-status (published/proven/still-trusted for this spec): /fv-status/e5ebd9cab6d424d5a202b2144bf9dacc14abf4ed24f3f0ac3adbecdd87c14872.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched.

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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
scenarioNo
crosswalkNo
protocol_namesNo
recommendationNo
protocols_detailNo
protocols_comparedNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "crosswalk": {
      +      "items": {
      +        "properties": {
      +          "concept": {
      +            "type": "string"
      +          },
      +          "values": {
      +            "properties": {
      +              "acp": {
      +                "type": "string"
      +              },
      +              "ap2": {
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "note": {
      +      "type": "string"
      +    },
      +    "protocol_names": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "protocols_compared": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "protocols_detail": {
      +      "items": {
      +        "properties": {
      +          "artifact": {
      +            "type": "string"
      +          },
      +          "audit": {
      +            "type": "string"
      +          },
      +          "backer": {
      +            "type": "string"
      +          },
      +          "id": {
      +            "type": "string"
      +          },
      +          "identity": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          },
      +          "rail": {
      +            "type": "string"
      +          },
      +          "scope": {
      +            "type": "string"
      +          },
      +          "signed": {
      +            "type": "string"
      +          },
      +          "status": {
      +            "type": "string"
      +          },
      +          "sub": {
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "recommendation": {
      +      "properties": {
      +        "also_consider": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "also_names": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "primary_names": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "primary_pick": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "rationale": {
      +          "type": "string"
      +        }
      +      },
      +      "type": "object"
      +    },
      +    "scenario": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. Added

TDQS

B3.3/5.0
Behavior5/5

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

The description goes well beyond the annotations: it discloses deterministic execution, transient non-retention of inputs, server-side vs browser delegation behavior, gpu-specific behavior, AP2 artifact export with execution_hash, and FV-status as an offline-verifiable snapshot. No contradiction with the readOnly/idempotent annotations is present.

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 description is overloaded and repetitive: 'OpenChainGraph compute node' appears twice, and it includes long URLs, a full FV-status hash, and a lengthy downstream feed list. Useful details are buried, and the core function is not front-loaded.

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?

Execution, privacy, provenance, downstream consumers, and verification are covered well, and the output schema reduces the need to describe return values. But the description omits the actual comparison semantics, selection criteria, and differentiation from similar compare tools, so an agent may still invoke it incorrectly.

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 baseline is 3. The description reinforces the compute parameter behavior but adds little semantic value for parent_hashes, parent_tool_ids, or policy_parameters beyond what the schema already states, and it defers policy_parameters field names to an external manifest.

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 title and tool name carry the 'compare protocols' meaning, but the description itself opens with a near-restatement of the title and 'OpenChainGraph compute node (routing_policy)' without stating what is compared or what the comparator returns. It lists downstream feeds, which hints at purpose, but an agent cannot tell exactly what computation or decision the tool performs.

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

Usage Guidelines3/5

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

The description gives operational guidance such as compute modes, gpu behavior, and 'use synthetic or anonymised inputs only,' and the output feeds imply a pipeline position. However, it never states when to use this tool versus alternatives, and it does not distinguish itself from the near-sibling compare_agentic_payment_protocols.

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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TDQS

C2.9/5.0
Disambiguation1/5

With 698 tools covering overlapping regulatory and compliance domains, many tools have near-identical names and purposes (e.g., check_genius_reserve_disclosure vs check_genius_reserve_disclosure_conformance, multiple DORA incident classifiers, several AP2 mandate validators). The highly templated descriptions further reduce distinctiveness, making reliable tool selection by an agent effectively impossible.

Naming Consistency4/5

The overwhelming majority of tools follow a consistent snake_case verb_noun pattern (assess_*, build_*, compute_*, validate_*, verify_*). Minor deviations exist (camt053_parse, workbook_evaluate, ha_gate_status, sdjwt_issue, etc.), but they are a small fraction of the total and follow recognizable domain-prefix conventions.

Tool Count1/5

698 tools is an extreme oversizing for any server, far beyond the 50+ threshold for a low score. Even with dedicated search/discovery tools, this unwieldy surface guarantees cognitive overload, high misselection risk, and severe practical usability problems.

Completeness4/5

The suite covers an extraordinarily broad range of fintech/regulatory domains — capital adequacy, AML, payments, crypto, AI governance, trade finance, and many verification/recompute lifecycles. Obvious gaps are difficult to identify, though the set is not a coherent single lifecycle and some niche areas are inevitably absent.