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knitbrain_run

Orchestrates AI agents by classifying tasks, drafting skills, proposing multi-domain agent teams, listing host commands, and reporting context level.

Instructions

THE feedback/orchestrator tool — call FIRST when the user states a task. Classifies it (small→big), finds-or-drafts the SKILL for it, proposes guardrailed agents when multi-domain, lists host slash-commands the agent can run itself, and reports the context meter. Follow the returned directive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe user's task, verbatim.
filesNoFiles likely touched, if known.
Behavior4/5

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

With no annotations, description carries full burden. It describes multiple actions including classification, skill creation, agent proposal, command listing, and context reporting. However, it does not explicitly mention side effects (e.g., does drafting a skill modify state) or permissions needed.

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 concise, packing essential information into a few sentences. It is front-loaded with the key directive ('call FIRST') and lists actions efficiently.

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 the complexity as an orchestrator and lack of output schema, the description adequately explains what the tool does and what the agent should expect (a directive). However, it could be more explicit about the format of the returned directive or context meter.

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 already has 100% coverage with clear descriptions for both parameters. Description adds context about using the task verbatim but does not add significant meaning beyond the 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?

The description clearly states it is an orchestrator tool to be called first, classifying tasks, finding/drafting skills, proposing agents, listing commands, and reporting context. It distinguishes from siblings by its comprehensive role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'call FIRST when the user states a task' and 'Follow the returned directive', providing clear when-to-use guidance. No alternative tools suggested but the context implies this is the primary entry point.

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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