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MCP Server for Splunk

workflow_requirements

Get the schema definitions, available tools, context variables, and validation rules needed to create custom troubleshooting workflows for Splunk.

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
Behavior5/5

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

With no annotations provided, the description fully bears the burden of behavioral disclosure. It comprehensively details what the tool returns: schema definitions, context variables, validation rules, and integration guidelines. It also explains how the output varies by format_type, providing clear behavioral expectations.

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 markdown headings and bullet points, making it scannable. While it is somewhat lengthy, every section serves a purpose. Minor redundancy exists in repeating output descriptions in both 'Output Formats' and 'Outputs' sections.

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 no output schema, the description fully explains the return values across all formats. It covers schema definitions, tool lists, context variables, validation rules, integration points, and best practices, making it complete for a documentation tool aimed at workflow contributors.

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?

Despite 0% schema description coverage, the description thoroughly explains the single parameter 'format_type', listing its possible values ('detailed', 'schema', 'quick', 'examples') and describing what each output format contains. This adds significant meaning beyond the bare schema definition.

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 'comprehensive requirements and schema information for creating custom workflows', using a specific verb ('Get') and resource. It distinguishes itself from sibling tools like 'list_workflows' or 'workflow_builder' by focusing on requirements and documentation rather than listing or execution.

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 provides three explicit scenarios: beginning of authoring, during development, and in CI/validation tooling. It implies its use is for workflow contributors, setting clear context. However, it does not explicitly state when not to use it or mention alternatives among the many sibling tools.

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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