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roboflow_upload_images_batch

Upload multiple images to a Roboflow project in parallel, with individual upload results and error reporting for each image.

Instructions

Upload many images concurrently.

sources is a list of :class:ImageSource dicts. Failed uploads don't abort the batch; the response reports per-image outcomes in results and errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
sourcesYes
workspaceNo
splitNo
batch_nameNo
concurrencyNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description discloses key behavioral traits: failed uploads do not abort the batch, and the response reports per-image outcomes. This adds value beyond the absence of annotations. However, it could mention authentication needs or rate limits.

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

Conciseness5/5

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

The description is three sentences, front-loaded with the main purpose, and provides essential details without superfluous words.

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?

The description covers core behavior and error handling, but given the complexity (7 parameters, many optional), it lacks details on parameters like split, batch_name, and the output schema. The presence of an output schema mitigates the need for return value descriptions, but overall completeness is moderate.

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

Parameters2/5

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

With 0% schema description coverage, the description only adds meaning for the 'sources' parameter (list of ImageSource dicts). Other parameters like project, workspace, split, batch_name, concurrency, and dry_run remain undocumented.

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 'Upload many images concurrently,' which is a specific verb+resource action. It distinguishes from sibling tools like roboflow_upload_image (single upload) by emphasizing batch processing.

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

Usage Guidelines3/5

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

The description implies usage for batch uploading many images concurrently, but does not explicitly state when to use this tool versus alternatives like roboflow_upload_image, nor does it provide exclusions or prerequisites.

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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