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deslicer

MCP Server for Splunk

list_lookup_definitions

Retrieve and filter Splunk lookup definitions, including metadata such as name, filename, fields, owner, and permissions.

Instructions

List lookup definitions (transforms) in Splunk. Returns metadata including name, type, associated filename, fields configuration, app, owner, and permissions. Lookup definitions specify how CSV files or external lookups are used in searches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerNoFilter by owner. Default: 'nobody' (all users)nobody
appNoFilter by app context. Default: '-' (all apps)-
countNoMax results to return. 0=all, default: 50 for performance
offsetNoResult offset for pagination. Default: 0
search_filterNoFilter results (e.g., 'filename=*.csv')
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It correctly indicates it is a read-only listing operation but lacks details on pagination behavior (count, offset), performance implications, or any side effects. It does not contradict any missing annotations.

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 two sentences, front-loaded with the action and resource, followed by a concise explanation of the purpose. Zero wasted words.

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?

While the schema documents all parameters well, the description lacks information on return value structure (given no output schema) and does not explain pagination or filtering behavior beyond the parameter defaults. It is adequate but leaves gaps for an agent to fully understand usage.

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?

The input schema covers 100% of parameters with descriptions. The description adds a high-level summary of returned metadata but does not enhance individual parameter semantics beyond what the schema already provides. Baseline 3 is appropriate.

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 lists lookup definitions (transforms) and specifies the returned metadata fields (name, type, filename, etc.). It differentiates itself from siblings like list_lookup_files by focusing on definitions rather than files.

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 provides context on what lookup definitions are but does not explicitly state when to use this tool versus alternatives like list_lookup_files or other list tools. No exclusions or prerequisites are mentioned.

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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