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axint.upgrade

Destructive

Check the latest Axint package and optionally upgrade the server when stale. Preserves the current agent thread and can write upgrade reports.

Instructions

Check the latest Axint package and optionally apply the upgrade while preserving the current agent thread. Returns exact install commands, optional Xcode MCP wiring refresh, .axint/upgrade/latest.*... Use: call when axint.status shows a stale server; not for app dependency upgrades. Effects: destructive when apply=true: can run package installs, refresh Xcode wiring, and write .axint/upgrade; may use npm network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoProject directory where .axint/upgrade/latest.* should be written. Defaults to the MCP process cwd.
targetVersionNoSpecific Axint version to install. Defaults to the latest published npm version.
latestVersionNoKnown latest version to compare against. Useful for deterministic agent tests or offline planning.
applyNoWhether to install the target package. Defaults to false, which only returns the plan.
reinstallXcodeNoWhether apply mode should also refresh optional Xcode MCP wiring. Defaults to false.
writeReportNoWhether to write .axint/upgrade/latest.json and latest.md. Defaults to true when apply is true.
formatNoOutput format. markdown is human-readable, json is structured, and prompt is the continuation block.

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.
Behavior5/5

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

Beyond the destructiveHint annotation, the description details the specific destructive effects: 'can run package installs, refresh Xcode wiring, and write .axint/upgrade; may use npm network'. It also mentions preservation of the current agent thread, adding valuable behavioral context.

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 concise and front-loaded with the core purpose. It effectively uses bullet-like structure ('Use:', 'Effects:') to organize information. Slightly verbose with some redundancy ('Returns exact install commands' and mention of .axint/upgrade/latest.*), but still clear.

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

Completeness5/5

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

The description covers all necessary aspects: purpose, usage condition, behavioral effects (destructive actions), and output mention. Given the existence of an output schema and comprehensive input schema, the description provides sufficient context for the AI agent to understand the tool's role and behavior.

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 input schema has 100% coverage with parameter descriptions, so baseline is 3. The description does not add additional meaning beyond the schema for individual parameters, but it does provide overall context for the 'apply' parameter's destructive nature.

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 the tool's action ('Check the latest Axint package and optionally apply the upgrade') and identifies the resource (Axint package upgrade). It distinguishes from sibling tools by noting it is not for app dependency upgrades and provides a specific use case: 'when axint.status shows a stale server'.

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 states when to use ('call when axint.status shows a stale server') and when not to use ('not for app dependency upgrades'), providing clear context for the AI agent.

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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