Skip to main content
Glama

roboflow_list_versions

Retrieves all versions of a specified dataset project, enabling quick inspection of version history.

Instructions

List dataset versions under a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
workspaceNo
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description fails to disclose behavioral traits such as pagination, filtering, ordering, or side effects. For a listing tool, the agent needs to know if it returns all versions or supports pagination, which is missing.

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

Conciseness3/5

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

The single-sentence description is concise, but it is too brief to be effective. While no superfluous words exist, it lacks necessary details for correct invocation.

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

Completeness2/5

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

Despite the existence of an output schema, the tool has three parameters with 0% schema description coverage and no annotations. The description does not explain parameter roles or behavior, leaving the agent underspecified for correct use.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate by explaining parameters. It does not mention the required 'project', optional 'workspace', or the 'dry_run' boolean. The description adds no meaning beyond the raw parameter names.

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 'List dataset versions under a project' uses a specific verb 'list' and identifies the resource 'dataset versions' and scope 'under a project'. It clearly distinguishes the tool from siblings like roboflow_create_version or roboflow_get_version.

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 such as roboflow_get_version (single version) or roboflow_export_version. There is no mention of prerequisites, context, or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MayankD409/Roboflow-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server