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deslicer

MCP Server for Splunk

list_kvstore_collections

Discover KV Store collections and their schema details for lookups, configuration, or caching, with optional app filtering.

Instructions

List KV Store collections with basic schema details. Use this to discover available KV stores for lookups, configuration, or caching, optionally filtering by app.

Outputs: array of collections with name, fields, accelerated_fields, replicated; and total count. Security: results are constrained by the authenticated user's permissions.Args: app (str, optional): Optional app name to filter collections

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNo
Behavior5/5

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

With no annotations, the description fully carries behavioral disclosure. It details the output structure (array with name, fields, etc.) and notes security constraints. No contradictions exist as there are no annotations.

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 relatively concise with five sentences covering purpose, usage, output, security, and args. However, it could be better structured (e.g., bullet points) for easier parsing.

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?

For a list tool with a simple optional parameter, the description provides essential context: output details and security. It lacks information on pagination or ordering, but these are not critical for basic usage.

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

Parameters5/5

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

The schema coverage is 0%, but the description compensates by explaining the single parameter 'app': 'Optional app name to filter collections'. This adds meaningful context beyond the schema definition.

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 'List KV Store collections with basic schema details', using a specific verb and resource. It distinguishes itself from sibling tools like 'list_apps' or 'list_indexes' by targeting KV stores specifically.

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 provides a clear use case: 'Use this to discover available KV stores for lookups, configuration, or caching' and mentions optional filtering by app. However, it does not explicitly state when not to use this tool or suggest alternatives.

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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