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AINumbers Fintech Intelligence Suite

Agent Identity & Authorization Attestation Checker

check_agent_attestation
Read-onlyIdempotent

Agent Identity & Authorization Attestation Checker: OpenChainGraph compute node (compliance_mandate). Regulatory deadline: 2027-12 (EU AI Act Annex III high-risk obligations (Digital Omnibus, Parliament final approval June 2026) push agent KYA toward compliance requirement from 2 December 2027; KYA-OS donated to DIF March 2026). 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-01-ap2-mandate-chain-validator, art-13-eudi-wallet-credential-readiness-checker. Output feeds: art-02-agent-spend-policy-simulator, ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/art-04-agent-identity-attestation-checker.html FV-status (published/proven/still-trusted for this spec): /fv-status/8b5ae30d812cd234cfb6068c4ce2022f01d10f2a358979b0f0d73421e09d2543.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.

TDQS

A3.8/5.0
Behavior5/5

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

Annotations already mark the tool readOnly, idempotent, and non-destructive, but the description adds substantial behavior: deterministic execution, Cloudflare Worker vs browser compute modes, transient processing with no storage/logging/retention, AP2 artifact export with execution_hash, and FV-status receipt semantics. These disclosures go well beyond the annotations and do not contradict them.

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 front-loaded and information-dense but overly bloated: regulatory history, KYA-OS donation date, an open URL, upstream/downstream artifact lists, and FV-status verification details are not needed for selecting or invoking the tool. It also repeats compute-mode semantics that are already present in the input schema, making it longer than necessary.

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?

Despite no output schema, the description covers compute modes, data privacy/retention behavior, chaining inputs, output artifact type (AP2 with execution_hash), and provenance verification. It leaves the exact AP2 return structure implicit and relies on an external manifest for policy_parameters field names, but an agent has enough context to invoke it correctly.

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?

The schema already documents all four parameters (100% coverage), so the baseline is 3. The description adds useful behavior beyond the enum text by explaining the compute:"auto" default, gpu:false/gpu:true dispatch rules, and browser delegation URL behavior, though it adds little for parent_hashes and parent_tool_ids beyond what the schema already states.

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

Purpose4/5

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

The title and opening phrase clearly identify the tool as an agent identity and authorization attestation checker within OpenChainGraph, and the compliance_mandate context gives a specific domain. However, it does not explicitly distinguish itself from sibling tools like check_agent_token_scope or verify_kya_x402_scope.

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 regulatory context implies use for EU AI Act Annex III high-risk agent attestation obligations, and the description gives a clear operational constraint ('Use synthetic or anonymised inputs only'). It never states when to prefer this tool over alternatives, when not to use it, or which sibling tools overlap with 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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TDQS

C2.4/5.0
Disambiguation1/5

Nearly every tool is an 'OpenChainGraph compute node' with identical boilerplate, and dozens of assess/check/validate/verify/lint/recompute verbs overlap heavily in purpose. An agent cannot reliably tell which of many similarly scoped tools should handle a given compliance or analytics question.

Naming Consistency2/5

Most names are snake_case, so there is superficial consistency, but the verb vocabulary is enormous and unpredictable, mixing build/compute/check/validate/verify/lint/assess/classify/score/reconcile and more. Several noun-first names such as pain001_validate, recon_match, and ha_record_validate further break the pattern.

Tool Count1/5

695 tools is far beyond any practical agent-facing surface, exceeding even the extreme end of the calibration range. This is a full product catalog dumped into one MCP server rather than a curated, usable tool set.

Completeness3/5

The suite covers an extremely wide range of fintech and regulatory calculators, validators, chain tools, and discovery utilities, so coverage is broad rather than thin. However, the lack of a clear domain boundary makes completeness nearly impossible to assess, and the heavy overlap suggests the surface was generated rather than intentionally designed.