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MCP Server By TestMu AI

by com.lambdatest.mcp
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Get Automation Test Network Logs

getAutomationTestNetworkLogs
Read-only

Fetches network logs for a specific automation test

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": {
      "testId": "<testId>",
      "platform": "<platform>"
    },
    "name": "getAutomationTestNetworkLogs"
  }
}

Input Schema

NameRequiredDescriptionDefault
testIdYesThe ID of the automation test
platformYesThe platform type: "web" for browser automation, "app" for app automation
sessionIdNoRequired for app platform: the session_id of the app session, a UUID that listMobileSessions and getAutomationTestDetails return (not the test ID)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / sessionId / description
      Previous value: -"Required for app platform: the session ID of the app test"New value: +"Required for app platform: the session_id of the app session, a UUID that listMobileSessions and getAutomationTestDetails return (not the test ID)"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description adds nothing beyond the annotations — no return format, log volume, or pagination behavior — so a baseline 3 is appropriate.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity comes at the cost of any usage or behavioral detail rather than being a model of informative concision.

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?

For a simple read-only log fetch with a fully documented 3-parameter schema and no output schema, the annotations and schema carry most of the burden. The description still omits any usage context or output expectations, leaving it only minimally adequate.

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%, and the schema itself documents testId, the platform enum, and the conditional sessionId requirement in detail. The description adds no parameter meaning beyond what the schema already provides, so the baseline 3 applies.

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 names a specific verb (fetches) and resource (network logs) scoped to a single automation test, which distinguishes it from the log siblings (browser console, command, Selenium logs) by resource type. It does not explicitly say how it differs from those siblings, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus the other automation-test log tools, and no mention of prerequisites such as the app-platform sessionId requirement. The description leaves the agent to infer the selection criteria entirely.

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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