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Get HyperExecute Job Status by Job ID

tm.get_hyperExecuteJobById

Retrieve current status and full details of a HyperExecute job using its job ID, including job-level info, per-task breakdown, and summary statistics.

Instructions

Retrieves the current status and full detail of a HyperExecute Job by its job ID: job-level info (status, job number, label, remark, job type, frameworks, org/user, tunnel, retry-on-failure setting, global/test-suite timeout, created/updated/start/end timestamps, total test count, execution time), a per-Task breakdown (each Task is one independent VM/parallel worker running its share of tests sequentially - a job using multiple parallels typically has multiple Tasks, each with its own status, OS, timing, and retry iteration), a numeric task-count summary, and a job summary (pre-run/post-run status breakdowns plus scenario-stage retry statistics). Input: job_id (the HyperExecute Job ID, e.g. a UUID like "11111111-1111-1111-1111-111111111111" - distinct from a Test Manager test_run_id or test_case_id; this tool does not discover a job_id from a Test Manager ID, it requires one already known). IMPORTANT: this is a snapshot at the moment of the call - for a still-queued/running job, call again later for updated status. The API's jobLabel field is a JSON-encoded string rather than a real array; parsed defensively into a readable label, falling back to the raw value if unparseable. Read-only; does not modify anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
Behavior4/5

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

With no annotations, the description fully discloses read-only nature, snapshot semantics, and defensive parsing of jobLabel. It details output structure and notes no modifications. Minor gaps like error handling or rate limits prevent a 5.

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?

The description is informative and well-structured with clear sections, but slightly lengthy. It front-loads the main purpose and adds important details without redundancy. Could be trimmed slightly without losing meaning.

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

Completeness5/5

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

Despite no output schema, the description comprehensively covers the return structure (job-level info, per-Task breakdown, summaries) and operational behavior (snapshot, defensive parsing). Complete for a read-only retrieval tool.

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

Parameters5/5

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

With 0% schema description coverage, the description thoroughly explains the job_id parameter: UUID format, distinction from other IDs, and requirement to already be known. Includes an example, adding significant value beyond the schema.

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 retrieves current status and full detail of a HyperExecute Job by job ID, listing specific data categories. It distinguishes itself from siblings like get_hyperExecuteJobs (list) and get_hyperExecuteJobScenarios (scenarios) by focusing on a single job with full details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly specifies that input is a known job_id (UUID format, distinct from other IDs), stating this tool does not discover IDs from Test Manager. It also advises calling again for updated status on queued/running jobs, providing clear when-to-use and snapshoting behavior.

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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