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MCP Server By TestMu AI

Show HyperExecute Job

getHyperExecuteJobInfo
Read-only

Fetches and displays information about a HyperExecute job including status, test results, and progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe ID of the HyperExecute job

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / lt_access_key
      Removed value: -{
      -  "description": "LambdaTest access key (optional)",
      -  "type": "string"
      -}
    • removedInput schema / properties / lt_username
      Removed value: -{
      -  "description": "LambdaTest username (optional)",
      -  "type": "string"
      -}
  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. The description adds genuine value by enumerating returned content (status, test results, progress), which matters because there is no output schema, but it omits auth requirements, result freshness, or behavior for an unknown/invalid jobId.

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?

One sentence, front-loaded with the verb and the return content, with no filler. It is slightly generic in the 'Fetches and displays' opening but wastes nothing.

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 one-parameter read tool with annotations covering safety and no output schema, the description adequately conveys what the caller gets back. It falls short on sibling differentiation against the several other HyperExecute read tools and on any behavioral edge cases, leaving it minimum-viable.

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?

There is a single parameter with 100% schema description coverage ('The ID of the HyperExecute job'), so the schema already carries the semantics and 3 is the baseline. The description only implies that jobId selects the job and adds no format or sourcing detail.

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?

States a specific verb and resource ('Fetches and displays information about a HyperExecute job') and even names the content returned (status, test results, progress), which distinguishes it from artifact/log/session fetchers in the sibling list. It does not, however, differentiate itself from analyzeHyperExecuteJob or listHyperExecuteJobs, so an agent must still infer which HyperExecute read tool to pick.

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 when-to-use guidance, no prerequisites, and no mention of alternatives such as analyzeHyperExecuteJob or getHyperExecuteJobSessions. The agent gets a purpose but no routing signal.

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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