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FSMA 204 Critical Tracking Event (CTE) Validator

validate_fsma204_cte
Read-onlyIdempotent

FSMA 204 Critical Tracking Event (CTE) Validator: OpenChainGraph compute node (compliance_mandate). 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-119-traceability-lot-code-linker. Open at: https://ainumbers.co/chaingraph/art-118-fsma204-cte-validator.html FV-status (published/proven/still-trusted for this spec): /fv-status/ca4e1dca8343f788a296161f0e19712f7afb7e5eaec0431081e715a4cc34b784.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched. Summary: Validate required Key Data Elements present for each FDA FSMA 204 Critical Tracking Event (harvesting/cooling/initial packing/shipping/receiving/transformation) per the Food Traceability List. Outputs: cte_type, cte_valid, ftl_food, missing_kdes. Output schema: call describe_tool("validate_fsma204_cte").

Input 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". Unknown keys are refused.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed3 schema fields changed
    • changedInput schema / properties / policy_parameters / description
      Previous value: -"Input 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."New value: +"Input 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\". Unknown keys are refused."
    • addedInput schema / properties / policy_parameters / properties
      Added value: +{
+  "cte_type": {},
+  "ftl_food": {},
+  "kdes": {}
+}
    • removedInput schema / properties / policy_parameters / propertyNames
      Removed value: -{
-  "type": "string"
-}
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
-  "properties": {
-    "cte_type": {
-      "type": "string"
-    },
-    "cte_valid": {
-      "type": "boolean"
-    },
-    "ftl_food": {
-      "type": "string"
-    },
-    "missing_kdes": {
-      "type": "array"
-    }
-  },
-  "type": "object"
-}New value: +null
  4. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "cte_type": {
+      "type": "string"
+    },
+    "cte_valid": {
+      "type": "boolean"
+    },
+    "ftl_food": {
+      "type": "string"
+    },
+    "missing_kdes": {
+      "type": "array"
+    }
+  },
+  "type": "object"
+}
  5. Added

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the annotations, the description discloses server-side versus browser execution, transient processing with no storage/logging/retention, and export of an AP2 artifact with execution_hash. These are useful behavioral details not covered by the read-only/idempotent annotations, though auth and rate-limit behavior are not addressed.

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

Conciseness3/5

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

The description is long and somewhat repetitive, starting with repeated OpenChainGraph compute-node boilerplate before reaching the actual validation summary later. It contains useful details, but the front-loading is weaker than ideal.

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?

For a complex compliance validation tool with no output schema, the description identifies the validated CTE types, Food Traceability List context, and output fields cte_type, cte_valid, ftl_food, and missing_kdes. It is nearly complete, though the nested policy parameters could be made more explicit.

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 description coverage is 100%, so the schema already documents the four parameters, including compute modes and chaining fields. The description adds little parameter-specific meaning beyond the summary's mention of KDEs and CTE types, so the baseline of 3 is appropriate.

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 description states a specific verb and resource: validate required Key Data Elements for each FDA FSMA 204 Critical Tracking Event per the Food Traceability List. It is clear what the tool does, but it does not explicitly distinguish this validator from sibling validation tools.

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 some implied usage context, such as the output feeding art-119-traceability-lot-code-linker, but it does not state when to use this tool versus alternatives or when not to use it. The compute mode guidance is operational rather than usage-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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