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EasyDeploy-AI

easydeploy-ai-mcp

Official

start_upload

Initiate an upload request and get a curl command to upload a file to the gateway. Use with dataset_id to upload a new version of an existing dataset.

Instructions

Start an upload request and return a gateway upload curl command.

FULL 3-STEP FLOW:

Step 1 — call start_upload. Step 2 — run curl_command in bash. Replace FILE_PATH with the actual file path. Step 3 — call complete_upload with upload_request_id from step 1.

No API key or auth header is needed in the curl command. Pass dataset_id when uploading a new version of an existing dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameYes
project_idYes
dataset_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full transparency burden. It discloses that no API key or auth header is needed in the curl command, and describes the return of a curl command. Does not mention side effects, but the operation is likely safe.

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 concise and well-structured: a single sentence stating purpose, followed by a numbered list of steps. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Given the complexity of a 3-step upload process, the description fully explains the workflow. Output schema exists, so return values need not be described. All necessary context is provided for correct tool invocation.

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 has 3 params with 0% description coverage. Description only adds meaning for dataset_id (optional, for new version). Does not explain filename or project_id. Baseline is low, but adds some value.

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 that the tool starts an upload request and returns a curl command. It outlines the specific 3-step flow, distinguishing it from its sibling 'complete_upload' which is step 3.

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 explicit usage guidelines by detailing the three-step flow, indicating when to call start_upload (step 1) and when to use dataset_id (for new versions). Lacks explicit when-not-to-use but the context is clear.

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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