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roboflow_list_annotation_jobs

List a project's annotation jobs to view labeling and review progress, and identify jobs ready to add to the dataset. Optionally filter by status.

Instructions

List a project's annotation jobs (Annotate-tab batches).

Each job reports labeling / review progress; ready_to_add marks jobs sitting in review with every image approved, i.e. eligible for roboflow_add_reviewed_to_dataset. Optionally filter by status (e.g. "assigned", "review", "complete").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
dry_runNo
projectYes
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It implies a read-only listing operation, mentions the ready_to_add field and filtering, but does not discuss permissions, rate limits, or side effects. Adequate but not exhaustive.

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 concise and front-loaded with the main purpose. It efficiently uses two sentences, but could be slightly more structured for clarity. Overall, no wasted 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?

Given the existence of an output schema, return values are covered. However, the description lacks explanation for the 'dry_run' and 'workspace' parameters, which are important for a listing tool with multiple parameters. Sibling list provides some context.

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?

Schema coverage is 0%, so description must compensate. It only adds meaning for the 'status' parameter with example values. Parameters 'dry_run', 'project', and 'workspace' are not explained. More detail is needed for full understanding.

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 verb 'list' and the resource 'annotation jobs' with context from the Annotate-tab. It also explains the reported progress and the special 'ready_to_add' field, differentiating from sibling tools like roboflow_add_reviewed_to_dataset.

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

Usage Guidelines4/5

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

The description provides context by mentioning optional filtering by status and linking ready_to_add to a specific sibling tool. It does not explicitly state when not to use or alternatives, but the purpose is clear enough for an agent to decide.

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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