Skip to main content
Glama
zNetinho

MCP Runrun.it

by zNetinho

runrunit_upload_image_cloudinary

Upload an image to Cloudinary and return its public URL for use in screenshots, evidence, PRs, and comments.

Instructions

Faz upload de uma imagem para a Cloudinary e retorna a URL pública (secure_url). Usa as variáveis CLOUDINARY_* já configuradas no MCP (ex.: em mcp.json). Use para screenshots, evidências, PRs e comentários.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesCaminho absoluto ou relativo do arquivo de imagem no disco (ex.: path retornado por browser_take_screenshot).
public_idNoID público opcional na Cloudinary (ex.: pr-evidencia-desktop, docs-screenshot-1).
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses that uploads go to Cloudinary and return a secure_url, and mentions env vars are already configured. However, it omits details about whether overwriting occurs, allowed image formats, error handling, or any destructive potential. The description is adequate but could be more transparent.

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 two sentences, perfectly front-loaded: first sentence defines purpose and output, second provides usage guidance. No wasted words.

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

Completeness4/5

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

Given no output schema, the description hints at return value (secure_url). It covers the 2 parameters (1 required) with 100% schema coverage. It could mention file size limits or format restrictions, but for a straightforward upload tool it is sufficient.

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 useful context: for file_path it gives examples of absolute/relative paths and references browser_take_screenshot; for public_id it provides pattern examples. This enhances understanding beyond the schema alone.

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 tool uploads an image to Cloudinary and returns a public URL. It lists specific use cases (screenshots, evidence, PRs, comments), and no sibling tools perform similar uploads, so differentiation is clear.

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 explicitly tells when to use the tool (for screenshots, evidence, etc.) and mentions pre-configured environment variables. It does not state when not to use it, but there are no alternative upload tools among siblings, so it's clear.

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/zNetinho/mcp-runrunit'

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