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vuluu2k

WebCake Storefront MCP

by vuluu2k

get_app

Retrieve an installed app by its type code to check availability and details. Returns null if the app is not installed.

Instructions

Get one installed app by its type code (returns null if not installed). App type codes: 0=product_review, 1=articles_review, 2=automation, 3=telegram, 4=affiliates, 5=multilingual, 6=appointment, 7=send_email, 8=botcake, 9=sale_channel, 10=product_design, 11=auth_otp, 12=personal_product_design, 14=course, 15=zalo_mini_app, 16=cms, 17=recaptcha, 18=pwa. You may pass the number or the name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesApp type — a code (e.g. 2) or a name (e.g. "automation"). Codes: 0=product_review, 1=articles_review, 2=automation, 3=telegram, 4=affiliates, 5=multilingual, 6=appointment, 7=send_email, 8=botcake, 9=sale_channel, 10=product_design, 11=auth_otp, 12=personal_product_design, 14=course, 15=zalo_mini_app, 16=cms, 17=recaptcha, 18=pwa
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It adds useful behavioral context: returns null if not installed and accepts number or name. But it doesn't describe the return object structure, error behavior for invalid codes, or any read-only confirmation. This is a partial disclosure.

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 sentences: the first states the core function and null behavior, the second lists codes compactly. Every element earns its place, and the information 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?

For a simple getter with one parameter and no annotations, the description is nearly complete. It covers the return-null case and parameter format, but could mention what the returned app object contains. Since there is no output schema, a brief note about the return shape would make it fully 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?

The schema description covers 100% of the parameter semantics, and the description duplicates the same information. No additional meaning is added beyond what the schema already provides, so baseline 3 is appropriate.

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 states a specific action ('Get one installed app') with a clear parameter (type code). It distinguishes itself from siblings like list_apps (which lists all) and install/uninstall/update_app by focusing on retrieval of a single app.

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?

The description clearly indicates when to use the tool: to fetch one app by type code, with a useful null return semantics for not-installed. However, it doesn't explicitly name alternatives or state when not to use it, though the context is clear enough.

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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