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gptcompany

Universal Infinite Loop MCP Server

by gptcompany

wave_plan

Plan iterative generation waves by analyzing existing work and setting sophistication targets to manage context budgets for multi-agent coordination tasks.

Instructions

Plan a generation wave based on existing work and sophistication level

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
existingWorkYesArray of existing iteration information
sophisticationLevelYesTarget sophistication level for the wave
targetCountYesNumber of iterations to plan for
contextBudgetYesAvailable context budget for the wave
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool 'plans' a generation wave, implying it's a read-only planning operation, but doesn't clarify if it performs computations, makes recommendations, or has side effects like creating data. No information on permissions, rate limits, or error handling is included.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to understand at a glance.

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

Completeness3/5

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

For a tool with 4 parameters, no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details on behavior, usage context, or output expectations. Given the complexity and lack of structured data, it should provide more guidance to be fully helpful.

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 description coverage is 100%, so the schema already documents all four parameters. The description mentions 'existing work and sophistication level' but doesn't add meaningful context beyond what the schema provides, such as examples or usage patterns. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the verb 'plan' and the resource 'generation wave', specifying it's based on existing work and sophistication level. However, it doesn't distinguish this tool from its siblings like 'agent_coordinate' or 'infinite_orchestrate', which might also involve planning or coordination aspects.

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?

The description provides no guidance on when to use this tool versus alternatives like 'agent_coordinate' or 'context_monitor'. It mentions the inputs (existing work and sophistication level) but doesn't specify prerequisites, constraints, or appropriate contexts for invocation.

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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