Skip to main content
Glama
gptcompany

Universal Infinite Loop MCP Server

by gptcompany

agent_coordinate

Coordinate parallel agent execution by managing assignments, innovation dimensions, and context monitoring for multi-agent orchestration tasks.

Instructions

Coordinate parallel agent execution with sophisticated assignment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assignmentsYesArray of agent assignments
innovationDimensionsYesAvailable innovation dimensions
contextMonitorYesContext monitoring configuration
Behavior2/5

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 vaguely mentions 'sophisticated assignment' but does not explain what this entails—such as whether it modifies agent states, handles errors, or has side effects. For a coordination tool with no annotation coverage, this lack of detail is a significant gap in transparency.

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, efficient sentence that is front-loaded with the core function. It avoids unnecessary words and gets straight to the point, though it could be more specific to enhance clarity without losing conciseness.

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

Completeness2/5

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

Given the complexity implied by coordinating parallel agents and the lack of annotations and output schema, the description is incomplete. It does not cover behavioral aspects, return values, or error handling, leaving the agent with insufficient information to use the tool effectively in a multi-agent context.

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 description adds no meaning beyond what the input schema provides. With 100% schema description coverage, the schema already documents all three parameters (assignments, innovationDimensions, contextMonitor). The description does not elaborate on their roles or interactions, so it meets the baseline of 3 without compensating for any gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool coordinates parallel agent execution with sophisticated assignment, which provides a vague purpose. It mentions a verb ('coordinate') and resource ('parallel agent execution'), but lacks specificity about what coordination entails or how it differs from sibling tools like 'infinite_orchestrate' or 'wave_plan'. This makes it unclear for precise agent selection.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions, and it fails to differentiate from sibling tools such as 'context_monitor' or 'infinite_orchestrate'. This leaves the agent without direction on appropriate usage scenarios.

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/gptcompany/universal-infinite-loop-mcp-server'

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