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deslicer

MCP Server for Splunk

get_splunk_documentation

Access Splunk documentation by URI pattern: cheat sheets, troubleshooting, SPL references, admin guides. Returns full content for agentic framework integration.

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.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It says the tool 'returns embedded resources with actual content' but does not disclose behavior like error handling on invalid URIs, rate limits, caching, or dependencies. This lack of behavioral context limits agent understanding.

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?

The description is three sentences, front-loaded with the main purpose, and every sentence adds value. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 2 parameters, no output schema, and many siblings, the description covers the core mechanism and a use case. However, it lacks information on return format structure, error behavior, and prerequisites. It is adequate but not complete for an agent to fully understand all behaviors.

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 description coverage is 100%, so baseline is 3. The tool description adds a cross-reference to list_available_topics() which is a small extra guidance not present in the schema. However, it does not add new semantic insight beyond the schema's detailed URI examples and parameter descriptions.

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?

The description states 'Retrieve any Splunk documentation by URI pattern' with a clear verb and resource. It mentions support for all documentation types including cheat sheets, troubleshooting guides, etc., which helps distinguish from siblings that are more specialized (e.g., get_admin_guide, get_spl_reference). However, it could more explicitly contrast with those specialized tools.

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?

The description explains a use case (compatibility with agentic frameworks) but does not provide explicit when-to-use or when-not-to-use guidance relative to siblings. There is no mention of alternatives or exclusions, leaving the agent to infer when to prefer this generic tool over more specific ones.

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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