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ComplianceCow

ComplianceCow MCP Server

get_application_info

Retrieve application details and supported credential types to configure credentials with data validation and Base64 encoding requirements.

Instructions

Get detailed information about an application, including supported credential types.

APPLICATION CREDENTIAL CONFIGURATION WORKFLOW:

  1. User selects "Configure new application credentials".

  2. Call this tool to retrieve application details and supported credential types.

  3. Present credential options to the user with:

    • Required attributes

    • Data type

    • If type is bytes → must be Base64-encoded

  4. Collect credential values for the selected type.

  5. Validate that all required attributes are provided.

  6. Verify that each credential value matches its expected data type.

  7. Build the credential configuration and append it to the apps_config array.

DATA VALIDATION REQUIREMENTS:

  • All required attributes must be present.

  • Data type must match specification.

  • Bytes values must be Base64-encoded before saving.

Args: tag_name: The app tag name for retrieving application information

Returns: Dict containing application details and supported credential types

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tag_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Provides workflow context and validation rules (Base64 encoding), but missing standard behavioral disclosures like read-only nature, error conditions, or rate limits since no annotations exist.

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

Conciseness4/5

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

Lengthy but justified by necessary workflow context; well-structured with clear headers (APPLICATION CREDENTIAL CONFIGURATION WORKFLOW, DATA VALIDATION REQUIREMENTS, Args, Returns).

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?

Complete given output schema exists; workflow integration details provide necessary context for proper invocation sequence.

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?

Effectively compensates for 0% schema coverage by defining `tag_name` as 'The app tag name for retrieving application information' in the Args section.

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?

Clear verb (Get) and resource (application info/credential types), though doesn't explicitly distinguish from sibling `get_applications_for_tag` which likely lists rather than details.

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?

Excellent 7-step workflow showing exactly when to invoke this tool in the credential configuration process, though lacks explicit 'when not to use' vs alternatives.

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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