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deslicer

MCP Server for Splunk

list_sources

Discover and enumerate all data sources across Splunk indexes to inventory and troubleshoot data origins.

Instructions

Discover and enumerate all available data sources from the configured Splunk instance using the metadata command. This tool provides a comprehensive inventory of data sources across all indexes, helping with data discovery, troubleshooting, and understanding the data landscape in your Splunk environment. Sources represent the origin points of data such as log files, network streams, databases, and other data inputs.

Use Cases:

  • Data discovery and cataloging

  • Troubleshooting missing data sources

  • Understanding data flow and origins

  • Planning data retention and archival

  • Security analysis and audit trails

Response Format: Returns a dictionary with 'status' field and 'data' containing:

  • sources: Sorted array of all data source paths/identifiers

  • count: Total number of unique sources discovered

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains the tool uses the metadata command and returns a dictionary with 'sources' and 'count'. While it implies read-only behavior, it does not explicitly state non-destructiveness or safety, but the information is sufficient for understanding behavior.

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 well-structured and concise: a core sentence, followed by use cases and response format. It is front-loaded with the main action and every sentence adds value without redundancy.

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 has no parameters and no output schema, the description is complete. It explains the purpose, use cases, and return format adequately, leaving no significant gaps for an agent to use the tool correctly.

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

Parameters4/5

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

The input schema has zero parameters, so baseline is 4. The description adds no parameter details (unnecessary) but provides valuable output format information, enhancing understanding beyond the schema.

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: discovering and enumerating all available data sources from a Splunk instance using the metadata command. It specifies the verb 'discover and enumerate' and the resource 'data sources', distinguishing it from sibling tools like list_sourcetypes or list_indexes.

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 list of use cases such as data discovery and troubleshooting, providing context for when to use the tool. However, it does not explicitly mention alternatives or conditions when not to use this tool, missing full differentiation.

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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