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ComplianceCow

ComplianceCow MCP Server

list_workflow_predefined_variables

Retrieve predefined variables for workflow configuration, which trigger system operations like sending failure notifications when set.

Instructions

Retrieve available predefined variables for workflow configuration.

Predefined variables are system-level variables that can be used in workflow configurations. These system-level variables are mapped to specific operations. When you set a value for a predefined variable, it automatically triggers the associated system operation (like sending workflow failure notifications). Example: - Sending workflow failure notifications to specific users - Sending workflow failure notifications to admin Returns: - items (List[WorkflowPredefinedVariableVO]): A list of predefined variables. - id (str): Unique identifier of the predefined variable - type (str): Data type of the variable (e.g., Text, Boolean) - name (str): Name of the predefined variable - error (Optional[str]): An error message if any issues occurred during retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNo
errorNo

Implementation Reference

  • Constant URL_WORKFLOW_PREDEFINED_VARIABLES defining the API endpoint path.
    URL_WORKFLOW_PREDEFINED_VARIABLES = "/v1/workflow-catalog/predefined-variables"
Behavior3/5

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

No annotations are provided, so the description carries full burden. It states the tool retrieves data and returns items/error, but lacks details on rate limits, authentication needs, or any side effects. It is adequately transparent for a read-only operation.

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 concise, with clear structure: purpose statement, explanation, example, and return schema. Every sentence adds value and is front-loaded.

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

Completeness5/5

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

Given the tool has no parameters and an output schema described, the description provides sufficient context: it explains what predefined variables are, gives examples, and lists return fields. It is complete for a simple retrieval tool.

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 input schema has zero parameters, so parameter semantics are not applicable. The description adds value by explaining the return structure and providing examples, meeting the baseline expectation.

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 retrieves available predefined variables for workflow configuration. The verb 'retrieve' and resource 'predefined variables' are specific, and the purpose distinguishes it from sibling list_workflow_* 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 provides examples of use cases (e.g., sending notifications) but does not explicitly state when to use this tool vs alternatives or exclude other tools. Usage is implied by context and examples.

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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