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run_magi_iteration

Execute a single iteration of a task using an optional AI agent; if none specified, the default agent handles the task.

Instructions

Execute one MAGI iteration for a task using agentName when provided, otherwise the configured default agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNameYesName of the task to run
agentNameNoOptional agent adapter name (gemini-cli, claude, openai, ollama)
Behavior2/5

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

No annotations provided. Description only says 'execute' without specifying side effects, return value, or whether it blocks. Lacks behavioral depth.

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?

Single sentence, no fluff. Front-loaded with action and resource.

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?

Simple tool with no output schema. Covers purpose and param semantics well, but could mention result or side effects for full completeness.

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 covers both params with descriptions. Description adds value by explaining fallback behavior for agentName (uses default if omitted).

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 it executes one MAGI iteration for a task, with optional agent override. Sibling get_magi_status is for status, so this tool is distinct.

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?

Implied usage: use to run an iteration, not to check status. No explicit when-not or alternatives, but context with sibling tool makes it clear enough.

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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