Skip to main content
Glama
deslicer

MCP Server for Splunk

by deslicer

Workflow Requirements

workflow_requirements

Access workflow schemas, context variables, and validation rules to build custom Splunk troubleshooting workflows correctly.

Instructions

Get comprehensive requirements and schema information for creating custom workflows.

This tool provides detailed documentation for creating custom troubleshooting workflows that integrate with the MCP Server for Splunk dynamic troubleshooting system. It includes complete schema definitions, available tools, context variables, validation rules, and integration guidelines.

Output Formats:

  • detailed: Complete requirements with examples and explanations (default)

  • schema: JSON schema definitions for validation tools

  • quick: Quick reference for experienced contributors

  • examples: Example workflow structures and common patterns

Key Information Provided:

  • WorkflowDefinition and TaskDefinition schema structures

  • Complete list of available Splunk tools with descriptions

  • Context variables and their usage patterns

  • Validation rules and constraints

  • Integration points with dynamic troubleshoot agent

  • Best practices for workflow design and task creation

When to use

  • Use at the beginning of authoring to understand schemas and constraints

  • Use during development for quick reference to context variables and available tools

  • Use in CI/validation tooling to fetch schemas for automated checks

Arguments

  • format_type (optional): "detailed" (default), "schema", "quick", or "examples"

Outputs

  • Full schema and best practices (detailed), just schemas (schema), quick cheat sheet (quick), or examples

Perfect for workflow contributors who need to understand the requirements and structure for creating custom diagnostic workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
format_typeNodetailed
Install Server

TDQS

A4.3/5.0
Behavior3/5

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

Since no annotations are provided, the description carries the full burden. It accurately implies this is a read-only informational tool by its non-mutating verbs ('Get', 'provides') and describes what it returns, but it does not explicitly state that it has no side effects, does not require special permissions, or any other behavioral constraints. For a documentation retrieval tool, this is adequate but not rich in behavioral disclosure.

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?

The description is well-structured with sections and bullet points, front-loading the main purpose. It is a bit lengthy but every sentence contributes to understanding the tool's capabilities, formats, and use cases. It avoids redundancy and maintains a clear flow, though it could be slightly tightened.

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's simplicity (one optional parameter, no output schema) and its role as a documentation provider, the description is exceptionally complete. It details output formats, key information, usage scenarios, parameters, and outputs, giving an agent everything needed to decide when and how to call it.

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

Parameters5/5

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

The input schema only defines format_type with a default but no description (0% coverage). The description compensates fully by explaining the parameter and its allowed values: 'format_type (optional): "detailed" (default), "schema", "quick", or "examples".' This goes well beyond the schema by providing semantic meaning and valid options.

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 purpose: 'Get comprehensive requirements and schema information for creating custom workflows.' It uses a specific verb ('Get') and resource ('requirements and schema information'), and distinguishes itself from sibling tools like workflow_builder by focusing on documentation for workflow creation rather than actual building.

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 description includes a 'When to use' section that explicitly lists three concrete scenarios: at the beginning of authoring, during development, and in CI/validation tooling. It does not mention when NOT to use it or name alternative tools, but the guidance is clear and useful, earning a strong 4 rather than 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/deslicer/mcp-for-splunk'

If you have feedback or need assistance with the MCP directory API, please join our Discord server