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nks1097

Splunk Enterprise MCP Server

by nks1097

splunk_manage_input

Toggles a configured Splunk data input stanza on or off by input type and name, letting you enable or disable monitoring, TCP, or HTTP inputs in write mode.

Instructions

Enable or disable a configured data input stanza (requires write mode).

Args: input_type: Type of input (e.g. 'monitor', 'tcp/raw', 'http'). name: Name or port of the input stanza. action: 'enable' or 'disable'.

Input Schema

NameRequiredDescriptionDefault
nameYes
actionNoenable
input_typeYes

Output Schema

NameRequiredDescriptionDefault
dataNoOutput payload or results
errorNoError message if execution failed
successNoWhether the tool execution succeeded
metadataNoExecution timing, pagination and environment details
warningsNoOperational warnings or notices
request_idNoCorrelation ID for audit trail and observability

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses that the operation is a mutation requiring write mode, but it does not explain the effects of disabling an input, idempotency, permissions beyond write mode, or error behavior if the stanza does not exist. The output schema helps with return values, reducing some burden.

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 compact and front-loaded: the primary action comes first, followed by a short Args list. Every sentence maps to a parameter or prerequisite, with little wasted text.

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?

For a three-parameter mutation tool with no annotations and zero schema description coverage, the description gives the basic call shape and write-mode requirement. It still leaves gaps around valid input_type values, operational consequences of enabling/disabling, and error conditions.

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?

Schema description coverage is 0%, so the description must compensate. It documents all three parameters, giving examples for input_type and listing enable/disable for action, though it does not provide exhaustive allowed values or enums.

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 a specific verb and resource: enable or disable a configured data input stanza. It is clear what the tool does, but it does not explicitly distinguish itself from sibling tools like splunk_list_inputs or splunk_get_input.

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 notes that it requires write mode, which is a useful prerequisite. However, it does not state when to use this tool versus alternatives such as splunk_list_inputs or splunk_get_input, nor does it give explicit exclusions.

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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