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ComplianceCow

ComplianceCow MCP Server

list_workflow_predefined_variables

Retrieve system-level predefined variables for workflow configuration to automate operations like failure notifications.

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
Behavior4/5

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

Explains the critical behavioral trait that setting these variables automatically triggers associated system operations, adding context beyond the retrieval action itself.

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?

Front-loaded with purpose but includes verbose Returns section documenting the output schema that likely duplicates structured output schema data; examples are helpful but description could be tighter.

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?

Adequately covers the simple retrieval operation by explaining what predefined variables are, their function, and return structure, providing necessary context given lack of annotations.

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?

Input schema has zero parameters; description correctly implies no inputs are needed without explicitly stating it, meeting baseline expectations.

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?

Clearly states it retrieves predefined variables for workflow configuration and defines what they are (system-level variables mapped to operations), though it doesn't explicitly differentiate 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?

Provides concrete examples of what the variables do (sending failure notifications) but lacks explicit guidance on when to call this vs other workflow listing tools or when not to use 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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