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App Update

app_update

Upgrade an installed app on an fnOS NAS to a target version. Set dry-run to preview the write operation before applying changes.

Instructions

升级应用到指定版本(写操作)。dry_run=True 仅预演。

Input Schema

NameRequiredDescriptionDefault
hostNoNAS 主机地址(IP 或域名)
portNoNAS 端口,如 5667(HTTPS)/5666(HTTP)/443
schemeNo传输协议
dry_runNo
profileNo独立 session profile 名称,默认使用 default
versionYes目标版本
app_nameYes应用 appName,取自 app_list 的 appName 字段(如 fn-codeserver),不是 name 显示名
no_startNo
volume_idNo安装目标卷 ID
accept_licenseNo
data_volume_idNo数据卷 ID

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.2

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries full burden; it does disclose that this is a write operation and that dry_run only previews, which is genuinely useful. But it omits permissions/auth needs, reversibility, and what happens to a running app, leaving material behavioral gaps for an 11-param mutation tool.

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?

Two terse clauses, front-loading the write-operation nature and the dry-run caveat with zero wasted words.

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?

An output schema exists, so return values need not be explained, and the description covers purpose plus the important dry-run behavior. It is nearly sufficient, though it could say more about side effects given the absence of annotations.

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 73%, so the schema already documents most parameters. The description adds semantics for dry_run (仅预演), which the schema leaves as a bare boolean, but contributes nothing for the remaining ten params. Baseline 3 is appropriate.

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?

States a specific verb (升级/upgrade), resource (应用/app), and target (指定版本/specified version), and flags the mutation nature with 写操作. It distinguishes itself well from app_install and app_check_update by name/verb, though it doesn't explicitly call out those siblings.

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

Usage Guidelines3/5

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

The dry_run=True clause gives a concrete preview recipe, which is real usage guidance. However, there is no explicit when/when-not versus siblings like app_install or app_check_update, so usage context is only implied.

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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