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by saucelabs

get_specific_real_device_job

Retrieve detailed information about a specific real device test job in the Sauce Labs data center using its unique job identifier.

Instructions

    Get information about a specific job running on a real device at the data center.
    :param job_id: Required. The unique identifier of a job running on a real device in the data center. You can
        look up job IDs using the Get Real Device Jobs endpoint.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a read operation ('Get information'), which is helpful, but doesn't mention other behavioral aspects like authentication requirements, rate limits, error conditions, or what specific information is returned. For a tool with no annotation coverage, this leaves significant gaps.

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 appropriately concise with two sentences that directly address the tool's purpose and parameter. The first sentence states what the tool does, and the second explains the parameter, with no wasted words or unnecessary 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?

Given the tool has an output schema (which handles return values) and only one parameter with description coverage, the description is minimally adequate. However, for a tool with no annotations and multiple similar siblings, it should provide more context about when to use it and what behavioral constraints exist.

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 description provides meaningful context for the single parameter 'job_id', explaining it's 'The unique identifier of a job running on a real device in the data center' and mentioning how to obtain it. With 0% schema description coverage and only one parameter, this adequately compensates for the schema's lack of documentation.

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 the verb ('Get information about') and resource ('a specific job running on a real device at the data center'), making the purpose explicit. However, it doesn't differentiate from sibling tools like 'get_job_details' or 'get_real_device_jobs', which reduces clarity about its unique scope.

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?

The description provides no guidance on when to use this tool versus alternatives. It mentions looking up job IDs using 'Get Real Device Jobs endpoint' (likely referring to sibling tool 'get_real_device_jobs'), but doesn't explicitly state when to choose this tool over others like 'get_job_details' or 'get_specific_real_device_job_asset'.

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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