get_log_json_file

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

Describes behavior: returns structured JSON log, only for VDC jobs, and explains failure scenario. No annotations exist, so description carries full burden. It could add that operation is read-only but covers key points.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with clear sections (IMPORTANT, param, return). The 'If this method fails' sentence adds value but slightly increases length. Generally efficient.

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

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

Given the single parameter and presence of output schema, the description provides sufficient context. It explains return format and key constraints, making the tool fully understandable.

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

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

Schema has 0% description coverage, but description adds meaning: job_id is Sauce Labs Job ID, constrained to VDC jobs. Adds value beyond the schema definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool shows the complete log of a Sauce Labs test in structured JSON format, specifying it works only with VDC jobs. This distinct purpose differentiates it from siblings like get_specific_real_device_job_asset.

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

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

Explicitly states when to use (VDC jobs) and when not (RDC jobs), providing an alternative tool (get_specific_real_device_job_asset) and a troubleshooting hint for failure cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.