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MCP Server for Splunk

by deslicer

Get Splunk Documentation

get_splunk_documentation

Retrieve any Splunk documentation by URI pattern, including cheat sheets, troubleshooting guides, SPL references, and admin guides. Converts MCP resources into embedded content for agentic frameworks.

Instructions

Retrieve any Splunk documentation by URI pattern. This tool wraps existing documentation resources and returns embedded resources with actual content, making them compatible with agentic frameworks that don't support MCP resources natively. Supports all documentation types including cheat sheets, troubleshooting guides, SPL references, and admin guides.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_uriYesDocumentation URI pattern. Use list_available_topics() to see all available URI patterns and topics. Examples: - 'splunk-docs://cheat-sheet' - Splunk SPL cheat sheet - 'splunk-docs://discovery' - Available documentation discovery - 'splunk-docs://9.4/spl-reference/stats' - SPL stats command - 'splunk-docs://latest/troubleshooting/metrics-log' - Troubleshooting guide - 'splunk-docs://9.3/admin/indexes' - Admin guide for indexes - 'splunk-cim://authentication' - CIM data model (latest version) - 'splunk-cim://6.1/network-traffic' - CIM data model (specific version) - 'splunk-cim://discovery' - CIM discovery index - 'dashboard-studio://cheatsheet' - Dashboard Studio cheatsheet - 'dashboard-studio://discovery' - Dashboard Studio discovery - 'splunk-spec://props.conf' - Config file specification
auto_detect_versionNoWhether to auto-detect Splunk version for dynamic resources. Defaults to True.
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description must carry full behavioral disclosure. It explains it returns embedded resources with actual content, which is helpful, but does not explicitly state read-only nature, side-effect-free, or potential failure modes. It adds some context but not comprehensive.

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

Conciseness5/5

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

A single, front-loaded paragraph with zero waste. Every sentence earns its place, and it is appropriately sized for the tool.

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 the rich parameter schema and no output schema, the description covers the tool's purpose and types adequately. It explains the wrapper behavior and supported categories, which is sufficient for the complexity level.

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

Parameters3/5

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

Schema coverage is 100% with detailed descriptions and examples for both parameters. The description itself adds minimal parameter info beyond what the schema already provides, so baseline 3 is appropriate.

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 it retrieves Splunk documentation by URI pattern, distinguishing it from sibling specific getters like get_admin_guide or get_spl_reference. The verb+resource+scope is specific.

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?

It says it supports all documentation types and even references list_available_topics() for discovering URIs, but does not explicitly state when to prefer this over specific sibling tools or when to avoid it. No exclusions or alternatives are named.

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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