Skip to main content
Glama
zNetinho

MCP Runrun.it

by zNetinho

runrunit_project_detect_platform

Analyzes task tags to detect the project platform and suggests the upload command for the development environment.

Instructions

Identifies the project platform based on task tags in Runrun.it (Node, Python, Ruby, Go, Rust, etc.) and suggests the command to upload the development environment. The platform is defined by task tags (tags_data/tag_list), not by repository files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesID da task no Runrun.it. As tags dessa task definem a plataforma (ex.: node, react, python).
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that the tool reads tags_data/tag_list, not repository files, and implies read-only behavior. Could state 'no side effects' explicitly but sufficient.

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?

Two sentences, no wasted words. Clearly front-loaded with purpose and examples.

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?

Low complexity with one parameter. Description covers purpose, data source, and output suggestion. Missing details on output format or error handling, but adequate for a simple detection tool.

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 already has 100% coverage with parameter description. Tool description adds context: it suggests upload command and emphasizes tags as source, adding meaning beyond 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?

Description clearly states the tool identifies project platform based on task tags, listing examples. It is specific and distinguishes from sibling tools that handle comments, tasks, workflows, etc.

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?

Description explains when to use (when task tags define platform) and explicitly says it does not use repository files. However, no explicit when-not-to-use or alternative tool references.

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