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deslicer

MCP Server for Splunk

create_kvstore_collection

Create a KV Store collection in a Splunk app for storing lookup tables or persisted configuration. Define fields, accelerate queries, and set replication.

Instructions

Create a KV Store collection with optional fields and indexing. Use this to provision a new collection for lookups or persisted configuration in a specific app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appYesTarget Splunk application where the collection will be created. Examples: - 'search': Default search app - 'my_app': Custom application - 'splunk_monitoring_console': Monitoring console app
collectionYesName for the new collection (alphanumeric and underscores only). Examples: - 'users': User information store - 'configurations': Application settings - 'lookup_table': Data enrichment table
fieldsNoField definitions specifying data types and constraints
accelerated_fieldsNoIndex definitions for faster queries
replicatedNoWhether to replicate across cluster (default: True)
create_lookup_definitionNoAlso create a transforms.conf lookup definition (default: False)
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It states the tool creates a collection, implying mutation, but omits critical details such as required permissions, error behavior (e.g., duplicate collection), side effects on existing data, and the impact of parameters like 'replicated' or 'create_lookup_definition'.

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 focused sentences: the first states the action and options, the second provides usage context. No redundant or verbose language, front-loads the key action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lacks important context such as return value (no output schema), error conditions, prerequisites (app must exist?), and behavioral nuances of parameters like replication and lookup definition creation. For a tool with 6 parameters, this is insufficient.

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?

Schema description coverage is 100%, so baseline is 3. The description adds 'with optional fields and indexing' which aligns with parameters but does not provide meaningful extra detail beyond the schema's own descriptions. It does not clarify parameter interdependencies or syntax.

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 action ('Create') and the resource ('KV Store collection'). It specifies optional fields and indexing, and provides context ('for lookups or persisted configuration'), distinguishing it from sibling tools like 'list_kvstore_collections' and 'get_kvstore_data'.

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 gives explicit when-to-use guidance: 'Use this to provision a new collection for lookups or persisted configuration in a specific app.' It includes a specific app context but does not mention when not to use or alternative tools for similar tasks.

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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