Log Analyzer MCP

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log_analyzer_summarize

Read-onlyIdempotent

Analyze log files to generate a debugging summary including error distribution, anomalies, and investigation recommendations. Supports focus on errors, performance, or security.

Instructions

Generate a debugging summary of a log file.

Args:
    file_path: Path to the log file
    focus: Focus area - 'errors', 'performance', 'security', or 'all' (default)
    max_lines: Maximum lines to analyze (100-100000, default: 10000)
    response_format: Output format - 'markdown' or 'json'

Returns:
    Summary including file overview, level distribution, top errors,
    anomalies detected, and recommended investigation areas.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "file_path": "<file_path>"
    },
    "name": "log_analyzer_summarize"
  }
}

Input Schema

Name	Required	Default
`file_path`	Yes
`focus`	No	all
`max_lines`	No
`response_format`	No	markdown

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedJan 30, 2026

TDQS

A4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the description adds little behavioral context. It describes the output but does not disclose auth needs, rate limits, or side effects beyond the obvious read-only nature.

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 concise, with a clear front-loaded purpose statement, well-organized Args section, and a brief Returns summary. Every sentence adds value, no fluff, and the structure is easy to parse.

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

Completeness4/5

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

For a straightforward summarization tool, the description covers usage, parameters, and return value well. It could be improved by noting file size limits or encoding assumptions, but the presence of an output schema reduces the burden. Overall, it is sufficiently complete.

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?

The input schema has 0% description coverage, but the description compensates with clear explanations for all four parameters: focus options, max_lines range, response_format enum, and required file_path. This adds significant meaning beyond the schema's bare titles.

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 'Generate a debugging summary of a log file' with a specific verb and resource. It distinguishes this tool from siblings like log_analyzer_extract_errors or log_analyzer_search by focusing on generating a high-level summary with anomalies and recommendations.

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 does not explicitly state when to use this tool over alternatives. It implies usage for summarizing log files but lacks guidance on when not to use it (e.g., for detailed error extraction) or comparisons to sibling tools.

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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