industry4-mcp

generate_compliance_audit_trail

Compiles sensor logs and operator actions into a PDF audit report for FDA/ISO compliance after a deviation.

Instructions

Compiles sensor logs and operator actions into a standard PDF audit report for FDA/ISO compliance after a deviation.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "batch_id": "<batch_id>",
      "deviation_event": "<deviation_event>"
    },
    "name": "generate_compliance_audit_trail"
  }
}

Input Schema

Name	Required	Description	Default
`batch_id`	Yes
`deviation_event`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 1, 2026

TDQS

A3.6/5.0

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states what the tool does (compiles and generates a PDF) but does not mention side effects, permissions, output handling (e.g., where the file is saved), or any potential destructive actions.

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 a single, front-loaded sentence with no redundant wording. It efficiently conveys the core purpose and expected output without wasting words.

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?

Given the simple 2-parameter schema and no annotations or output schema, the description provides the essential purpose but lacks important contextual details such as how the PDF is returned or what server-side effects occur. It is minimally viable but leaves questions about the tool's behavior beyond the primary action.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the parameters 'batch_id' or 'deviation_event'. While 'after a deviation' hints at deviation_event, there is no explicit mapping or guidance on what values to provide, so the description fails to compensate for the lack of schema descriptions.

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 clearly states the tool's function: compiling sensor logs and operator actions into a PDF audit report for FDA/ISO compliance. This distinct action and resource set it apart from sibling tools, which all focus on different domains like sensor normalization or energy scheduling.

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 phrase 'after a deviation' provides clear context for when to use the tool. However, it does not explicitly mention alternatives or exclusions, though sibling tools are unrelated, making ambiguity low.

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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