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analyze_log

Analyze JSONL logs of MCP JSON-RPC messages to produce a structured report.

Instructions

Analyze a JSONL log file of MCP JSON-RPC messages and produce a structured report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to the JSONL log file to analyze.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

There are no annotations, so the description must carry the behavioral transparency burden. It states the action (analyze) and output (structured report), implicitly suggesting it is read-only, but it does not explicitly mention side effects, file modification, authentication requirements, or error behavior.

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 brief and to the point, using two straightforward sentences. There is no redundant or extraneous information.

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 description mentions a 'structured report' but does not specify the report's format, content, or any error behavior. Given the lack of an output schema, this omission leaves some ambiguity for an agent trying to anticipate the tool's result.

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 only parameter, path, has a clear description stating it points to the JSONL log file to analyze. This adds meaningful context beyond the parameter name and type, even though the schema coverage is complete.

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 tool's function: analyzing a JSONL log file of MCP JSON-RPC messages and producing a structured report. It distinguishes this from sibling tools like replay_session and check_schemas by specifying the input format and action.

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 explicit guidance is given about when to use this tool versus the sibling tools. The description implies it is for analyzing logs, but it does not state conditions or alternatives, leaving the agent to infer the appropriate context.

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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