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DeepTempo

Splunk MCP for SOC Operations

by DeepTempo

search_splunk

Execute Splunk search queries to retrieve log data. Specify time range and result limits to focus investigations on specific events.

Instructions

Execute a Splunk search query and return the results.

Args: search_query: The search query to execute earliest_time: Start time for the search (default: 24 hours ago) latest_time: End time for the search (default: now) max_results: Maximum number of results to return (default: 100)

Returns: List of search results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latest_timeNonow
max_resultsNo
search_queryYes
earliest_timeNo-24h

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions the search execution and result return but does not explicitly state it is read-only, discuss auth/permissions, rate limits, or side effects. The default time descriptions ('24 hours ago' vs schema's '-24h') are slightly imprecise but not contradictory.

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 with clear headings for Args and Returns. It is efficiently structured but includes redundancy by restating parameter defaults that are in the schema, which slightly detracts from conciseness.

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?

The output schema exists, so return values need not be explained. For a relatively simple search tool, the description covers the core function and parameters. However, missing usage guidance, no differentiation from siblings, and no mention of time format limitations leave notable gaps for a complete picture.

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

Parameters2/5

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 repeats parameter names and defaults already present in the schema but adds no deeper meaning, such as time format details, result size limits, or query syntax examples. The 'Args' section provides minimal interpretive value beyond the schema.

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 clearly states the action ('Execute a Splunk search query') and the resource ('Splunk'), with a straightforward return of results. However, it does not differentiate from the sibling tool 'run_splunk_query', which likely serves a similar or identical purpose.

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 guidance is provided about when to use this tool versus alternatives like 'run_splunk_query' or other search-related tools. The description only states what it does, not the intended context or 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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