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axint.agent.install

Idempotent

Creates .axint/agent, context, and coordination files to enable multiple AI agents and tools to coordinate through a shared local truth layer.

Instructions

Install the local Axint multi-agent project brain. Writes .axint/agent.json, .axint/context/latest.*, and .axint/coordination files so Codex, Claude, Cursor, Xcode, OpenClaw, and humans coordinate through the same local truth layer. Use: use once per project to create local multi-agent coordination; not needed for one-off compile. Effects: writes .axint/agent, context, and coordination files; no network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoProject directory. Defaults to the MCP process cwd.
projectNameNoOptional project name override.
agentNoActive host/tool lane. Defaults to all.
privacyModeNoPrivacy posture for this project. Defaults to local_only; source sharing is never enabled by default.
providerModeNoOptional model-provider posture for future AI-enhanced advice. Defaults to none.
forceNoRewrite the existing local agent config if present.
formatNoOutput format. Defaults to markdown.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesPrimary Axint tool response text, matching the first text content block.
isErrorNoWhether Axint marked the tool response as an error.
Behavior4/5

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

Aligns with annotations (idempotentHint=true). Adds value by detailing specific files written and stating 'no network,' which goes beyond the structured data. No contradictions with annotations.

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?

Extremely concise: two paragraphs with no filler. First sentence states purpose, then lists effects, usage, and a summary of effects. Every sentence adds value, and it is front-loaded.

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 existence of an output schema and full parameter descriptions, the description covers purpose, effects, and usage. It is nearly complete, though it could optionally mention prerequisites or error conditions.

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 coverage is 100%, so parameters are well-documented through descriptions and enums. The description does not add new parameter information beyond what the schema provides, earning the baseline score of 3.

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 'Install the local Axint multi-agent project brain' and lists specific files written. It distinguishes from sibling tools like axint.agent.advice, axint.agent.claim, and axint.compile by focusing on initial setup and coordination infrastructure.

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?

Provides explicit usage: 'use once per project to create local multi-agent coordination; not needed for one-off compile.' This guides the agent on when and when not to use it, though it does not name specific alternative tools like axint.compile.

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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