BetaFinds

upload_image

Upload an image (logo or screenshot) for create_startup. Pass the file content as base64 (data is base64 only, no data: prefix). Returns a url to pass into create_startup. Max 2 MB; formats: JPEG, PNG, WebP, GIF.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "data": "<data>",
      "mime_type": "<mime_type>"
    },
    "name": "upload_image"
  }
}

Input Schema

Name	Required	Description
`data`	Yes	File content in base64
`filename`	No	File name (optional)
`mime_type`	Yes	MIME type: image/png, image/jpeg, image/webp, image/gif

Output Schema

Name	Required	Description	Default
`url`	No
`path`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedJul 8, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "path": {
+      "type": "string"
+    },
+    "url": {
+      "type": "string"
+    }
+  },
+  "type": "object"
+}

First observedJul 8, 2026

TDQS

A4.7/5.0

Behavior5/5

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

The description reveals important behavioral details: max 2 MB, allowed formats (JPEG, PNG, WebP, GIF), base64 format without data: prefix, and that it returns a URL. Since annotations provide no such details, the description fully covers behavioral transparency.

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 with only essential information front-loaded. Each sentence serves a purpose: purpose, data format, output, and constraints.

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 tool's simplicity and presence of output schema, the description covers purpose, input requirements, constraints, and output usage. It is complete for an AI agent to use correctly.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds specific format instructions (no data: prefix) and constraints (max size, formats), providing extra meaning beyond the schema.

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 it uploads an image (logo or screenshot) for use with create_startup, distinguishing it from sibling tools like request_asset_upload and complete_asset_upload.

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?

It explicitly says the tool is for preparing an image for create_startup, providing clear usage context. However, it does not mention when not to use it or compare to alternatives.

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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