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1sarthakbhardwaj

Labellerr MCP Server

annotation_export

Generate annotation exports from projects in JSON, COCO JSON, CSV, or PNG formats, filtering by status as needed.

Instructions

Create an export of project annotations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusesYesFilter annotations by status
project_idYesID of the project
export_nameYesName for the export
export_formatYesFormat for the export
export_descriptionNoDescription of the export
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Create an export' without mentioning whether the operation is asynchronous, what the return value looks like, or any side effects, leaving agents without critical operational context.

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 a single concise sentence with no waste. However, it conveys little beyond the tool name itself, making it under-specified despite being concise.

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

Completeness1/5

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

With five parameters, no output schema, and no annotations, the description fails to explain essential context such as how the export is initiated, what the response includes, or how it relates to export status and download tools. This leaves a major completeness gap for a mutation tool.

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?

The input schema provides descriptions for all five parameters (100% coverage), so the baseline is 3. The description itself adds no parameter-level semantics beyond what the schema already documents, so it neither enhances nor detracts from schema clarity.

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 uses a specific verb ('Create') and resource ('export of project annotations'), clearly distinguishing it from sibling tools like annotation_check_export_status and annotation_download_export, which handle checking and downloading exports.

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 gives no guidance on when to use this tool versus alternatives. It does not mention that checking export status or downloading exports are separate steps, nor does it state 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.

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