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solanabughunter-glitch

OpenSearch MCP Server

LogPatternAnalysisTool

Analyze log patterns to troubleshoot errors and detect anomalies in application logs.

Instructions

Intelligent log pattern analysis tool for troubleshooting and anomaly detection in application logs. Use this tool when you need to: analyze error patterns in logs, identify unusual log sequences, compare log patterns between time periods, find root causes of system issues, detect anomalous behavior in application traces, or investigate performance problems. The tool automatically extracts meaningful patterns from raw log messages, groups similar patterns, identifies outliers, and provides insights for debugging. Essential for log-based troubleshooting, incident analysis, and proactive monitoring of system health.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYesTarget OpenSearch index name containing log data
logFieldNameYesField containing raw log messages to analyze
selectionTimeRangeStartYesStart time for analysis target period
selectionTimeRangeEndYesEnd time for analysis target period
timeFieldYesDate/time field for time-based filtering(requied)
traceFieldNameNoField for trace/correlation ID (optional)
baseTimeRangeStartNoStart time for baseline comparison period (optional)
baseTimeRangeEndNoEnd time for baseline comparison period (optional)
Behavior3/5

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

With no annotations provided, the description must convey behavioral traits. It states the tool 'automatically extracts meaningful patterns, groups similar patterns, identifies outliers, and provides insights for debugging.' This covers core behavior but lacks detail on potential side effects, data volume limits, or authentication requirements. The description is adequate but not exhaustive.

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 moderately concise, with each sentence adding value. It front-loads the purpose and lists use cases efficiently. A minor reduction could be made by removing the marketing adjective 'Intelligent,' but overall it is well-structured and not overly verbose.

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?

Given the tool's complexity (8 parameters, 5 required, no output schema), the description is incomplete. It does not explain the output format or results, nor does it describe the optional parameters like baseTimeRangeStart/End for baseline comparison. The description would benefit from specifying what the tool returns and how to interpret results.

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 each parameter already has a description. The tool description adds no additional meaning beyond the schema; it reiterates the purpose but does not provide format details or usage hints beyond what the schema offers. Therefore, the baseline score of 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 identifies the tool as an intelligent log pattern analysis tool for troubleshooting and anomaly detection. It lists specific use cases like analyzing error patterns, identifying unusual log sequences, and comparing patterns between time periods. This distinguishes it from sibling tools like SearchIndexTool or GenericOpenSearchApiTool, which are more general-purpose.

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 explicitly states when to use the tool: for analyzing error patterns, identifying anomalies, comparing patterns, finding root causes, etc. It also calls it 'essential for log-based troubleshooting, incident analysis, and proactive monitoring.' However, it does not provide explicit guidance on when not to use it or mention alternatives among siblings.

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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