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Glama

App List

app_list

List installed applications on an fnOS NAS and return their appName identifiers for follow-up app_* operations.

Instructions

列出已安装的应用。

返回的每个应用同时有 appName(API 标识,如 fn-codeserver)和 name(显示名,如 code-server)。后续所有 app_* 工具要传的是 appName,传 name 会报 "installed app not found"。

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
profileNo独立 session profile 名称,默认使用 default

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.2

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one high-value behavioral trait: the appName vs name distinction and the exact failure ("installed app not found") for getting it wrong. However, it says nothing about authentication/session requirements, connection behavior for host/port/scheme/profile, or rate limits, leaving sizable behavioral gaps for a tool with zero annotation coverage.

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?

Three short sentences, purpose front-loaded, then the one operational detail that actually matters. No filler, and the warning about the wrong identifier is placed where an agent will read it before calling downstream app_* tools.

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?

The task is a simple read and an output schema exists, so return shapes need not be re-explained; the description's mention of appName/name earns its place by adding the downstream-selection semantics. Connection/authentication context is thin, but for a simple listing tool the definition is close to complete.

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 description coverage is 100% with all four parameters (host, port, scheme, profile) documented in the schema, so the baseline is 3. The description adds no information about these parameters — it only discusses output fields — so it does not exceed the baseline.

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?

The description opens with a specific verb+resource ("列出已安装的应用" — list installed apps), which cleanly separates it from siblings like app_store_list or app_status. It never names a sibling it should be preferred over, so it stops short of full differentiation, but an agent can identify the operation immediately.

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?

It implicitly defines this tool's role as the discovery step feeding every other app_* tool, and states the precondition (must use appName from this output) concretely. There is no explicit when-not-to-use or alternative-tool guidance, so it is clear context rather than complete routing.

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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