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nks1097

Splunk Enterprise MCP Server

by nks1097

splunk_get_ingestion_metrics

Retrieve historical ingestion throughput in MB/hour by index over a chosen time window to analyze Splunk data intake trends and capacity.

Instructions

Retrieve historical ingestion throughput (MB/hour) broken down by index.

Args: time_span: Bucket span (e.g. '15m', '1h'). earliest_time: Earliest search window.

Input Schema

NameRequiredDescriptionDefault
time_spanNo1h
earliest_timeNo-24h@h

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

A3.5/5.0
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 implies read-only behavior via 'Retrieve' and specifies units (MB/hour) and granularity, but omits details like permissions, search cost, or aggregation method.

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?

Short and front-loaded: one sentence defines the tool, followed by two terse parameter explanations. No wasted words, though the 'Args:' format is slightly raw.

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?

Given the presence of an output schema and zero annotations, the description covers purpose and parameters but lacks context on when to use this tool versus related ingestion diagnostics. It is adequate but incomplete for routing in a large toolset.

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 compensate. It explains both parameters: time_span as bucket span (with examples '15m', '1h') and earliest_time as the earliest search window. The latter is vague on format but still adds meaning beyond the empty schema descriptions.

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: 'Retrieve historical ingestion throughput (MB/hour) broken down by index.' This clearly distinguishes it from most siblings, though it does not explicitly name alternatives like splunk_get_ingestion_lag.

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 purpose implies usage for monitoring ingestion volume, but there is no explicit guidance on when to use this versus splunk_get_ingestion_lag, splunk_get_parsing_errors, or splunk_index_stats. No exclusions or alternatives are named.

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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