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nks1097

Splunk Enterprise MCP Server

by nks1097

splunk_get_app_details

Retrieve metadata, configurations, and permissions for a specific Splunk app to verify its setup and access controls.

Instructions

Get metadata, configurations, and permissions for a specific Splunk app.

Args: name: App folder name (e.g. 'search', 'SplunkForwarder').

Input Schema

NameRequiredDescriptionDefault
nameYes

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

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the three information categories returned (metadata, configurations, permissions), which signals a read operation, but says nothing about permission requirements, behavior for a nonexistent app name, or whether the call can be expensive.

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?

One sentence of purpose followed by a compact Args block; front-loaded and free of filler. The pseudo-Python arg formatting is slightly noisy but not wasteful.

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?

An output schema exists, so return values needn't be explained, and the lone parameter is covered. What remains missing is how to obtain a valid app name and how the tool behaves on an unknown name, which matters for a single-arg lookup tool.

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 coverage is 0%, so the description must define the single parameter — and it does, clarifying that 'name' is the app folder name rather than a display name, with concrete examples ('search', 'SplunkForwarder'). It could have added a pointer to splunk_list_apps for discovering valid names.

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?

States a specific verb and resource ('Get metadata, configurations, and permissions for a specific Splunk app'), which is clearly distinct from splunk_list_apps and splunk_manage_app. It doesn't explicitly name those siblings, so sibling differentiation is inferred rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this instead of splunk_list_apps (to discover app names) or splunk_manage_app (to change app settings). The agent must infer the read-vs-list-vs-mutate routing entirely on its own.

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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