batch_submit_job

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

With no annotations, the description only notes asynchronous processing and return of job ID and status. It fails to disclose other critical behaviors such as how to check job completion, limits on concurrent jobs, or what happens on failure.

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?

Three concise sentences, no wasted words, front-loaded with the core purpose and key behaviors.

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 13 parameters, no output schema, and many sibling tools, the description lacks details on how results are retrieved, format of job ID/status, or any reference to batch_list_jobs. It feels incomplete for a complex submission tool.

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?

All 13 parameters have descriptions in the schema (100% coverage), so the description adds no additional parameter meaning beyond the schema. Baseline of 3 is appropriate.

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?

The description clearly states it submits a batch data download job for large historical datasets, returns job ID and status, and is asynchronous. This distinguishes it from sibling tools like batch_list_jobs and batch_download.

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?

The description mentions 'large historical datasets' implying scale, but does not explicitly state when to use this over alternatives like batch_download, nor does it mention any prerequisites or exclusions.

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