Skip to main content
Glama
deslicer

MCP Server for Splunk

workflow_requirements

Fetch comprehensive requirements and schema for creating custom troubleshooting workflows. Includes tool descriptions, context variables, and validation rules for Splunk integration.

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
Behavior4/5

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

The description details what the tool returns (schemas, tools list, context variables, etc.) and the output formats. It implies a read-only operation without side effects. With no annotations provided, the description adequately covers behavioral transparency, though it could explicitly state it is non-destructive.

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?

The description is lengthy and contains some redundancy (e.g., output formats are listed twice). The first sentence is clear, but overall structure could be tightened; every sentence does not earn its place.

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?

Given no output schema, the description explains the output content well. It covers input, output formats, usage guidance, and key information. It is complete for a documentation tool, though it could mention that the output is text/information.

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 single parameter format_type is explained in full: its allowed values (detailed, schema, quick, examples) and their meanings are described. Despite 0% schema description coverage, the description compensates completely, making the parameter semantics clear.

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 'Get comprehensive requirements and schema information for creating custom workflows', which is a specific verb+resource. It distinguishes itself from sibling tools like workflow_builder (creation) and workflow_runner (execution), and from other documentation tools (e.g., get_spl_reference) by focusing on workflow requirements.

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 'When to use' section explicitly covers three scenarios: beginning of authoring, during development, and in CI/validation tooling. It provides clear context but does not mention specific alternatives or when not to use this tool.

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

Install Server

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