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1sarthakbhardwaj

Labellerr MCP Server

annotation_upload_preannotations

Upload pre-annotations to a Labellerr project synchronously. Specify project ID, annotation format (JSON, COCO JSON, CSV, PNG), and file path to import annotations directly.

Instructions

Upload pre-annotations to a project (synchronous)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesID of the project
annotation_fileYesPath to the annotation file
annotation_formatYesFormat of the annotation file
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only mentions the synchronous nature, omitting details about error handling, idempotency, success/failure responses, or any side effects. This is a minimal disclosure for a mutation tool.

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 a single, front-loaded sentence with zero wasted words. It efficiently conveys the core action and a critical differentiator (synchronous) in minimal space.

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?

As a simple upload tool with no output schema and no annotations, the description is minimal but includes the key synchronous trait. However, it does not mention any processing behavior, error conditions, or what happens after the upload, leaving some operational gaps for the agent.

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

Parameters3/5

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

Schema description coverage is 100%, and the description adds no extra parameter-level information. The baseline of 3 applies because the schema already documents all parameters, including the annotation_format enum.

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 action ('Upload pre-annotations to a project') and the resource (project). The word 'synchronous' explicitly differentiates from the sibling tool annotation_upload_preannotations_async, making the tool's purpose unambiguous.

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 synchronous uploads, but it does not explicitly state when to choose this tool over the async alternative or provide any context about prerequisites or suitable scenarios. The guidance is implicit rather than explicit.

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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