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Analyze trace logs

analyze_trace_logs

Read-only

Collect deterministic trace and request log evidence across services to diagnose issues without making root cause claims. Filter by trace, request, project, or time range to gather precise evidence for debugging.

Instructions

Collect deterministic trace/request log evidence without claiming root cause.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "analyze_trace_logs"
  }
}

Input Schema

Name	Required	Description	Default
`limit`	No
`after_ms`	No
`trace_id`	No
`before_ms`	No
`project_id`	No
`request_id`	No
`project_name`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Aug 1, 2026

TDQS

C2.8/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds the behavioral nuances of 'deterministic' and 'without claiming root cause', which provide some extra context. However, it does not describe output format, pagination, or any other behavioral traits beyond the annotation.

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 a single concise sentence with no redundant words. It is efficiently written and easy to parse, though this brevity comes at the cost of substantive guidance.

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

Completeness1/5

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

With no output schema and zero parameter documentation, the description fails to convey what the tool returns, how to filter results, or any usage context. The tool has 7 optional parameters, and the description provides no help in understanding its overall behavior or expected inputs/outputs, making it severely incomplete.

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

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the 7 parameters (e.g., limit, after_ms, trace_id). The mention of 'trace/request' hints at trace_id and request_id, but this is far too vague for an agent to understand how to populate or use these parameters effectively.

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 a specific action: 'Collect deterministic trace/request log evidence' and adds a useful caveat about not claiming root cause. It is not a tautology and gives a reasonable idea of the tool's function, though it does not explicitly differentiate from sibling log tools like search_logs or tail_logs.

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 on when to use this tool versus alternatives. The description does not mention appropriate contexts, exclusions, or alternative tools, leaving the agent without direction for selection.

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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