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TaskLite MCP

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TypeScript
Remote

get_frontend_prompt

Read-only

Generate a ready-made prompt describing your app's backend, ready to paste into frontend generators like v0, Bolt, or Lovable. Scaffold a frontend directly from your backend.

Instructions

Get a ready-made prompt describing the app backend, for pasting into a frontend generator (v0/bolt/lovable/cursor). appId accepts the app UUID or its slug (app-xxxxxx) — use list_apps to find it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesTarget tool the prompt is written for
appIdYesApp id or slug (from list_apps / create_app)
organizationIdNoOrganization id; defaults to the credential organization when omitted

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv0.13.0
    • addedInput schema / properties / appId / description
      Added value: +"App id or slug (from list_apps / create_app)"
    • addedInput schema / properties / organizationId / description
      Added value: +"Organization id; defaults to the credential organization when omitted"
    • addedInput schema / properties / tool / description
      Added value: +"Target tool the prompt is written for"
  2. First observedv0.7.0

TDQS

A4.6/5.0
Behavior4/5

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

Annotations indicate readOnlyHint true and destructiveHint false, and the description's 'Get' wording implies no side effects. It does not describe return format or errors, but the read-only behavior is sufficiently covered by 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?

Description is two sentences with no redundant wording. It packs the purpose, use case, and parameter guidance efficiently.

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 tool is simple, has no output schema or nested objects, and all required parameter context is provided. The mention of list_apps gives sufficient integration context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All parameters are described with 100% schema coverage. appId is clarified to accept UUID or slug, organizationId notes its default behavior, and tool has an enum with an explanatory description.

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?

Description uses the specific verb 'Get' and identifies a clear resource: a ready-made prompt describing the app backend for frontend generators. This distinguishes it from related tools like get_app_spec.

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?

Clearly states when to use the tool (when needing a prompt for frontend generators) and gives a prerequisite ('use list_apps to find it'). It does not explicitly contrast with sibling tools, but the use case is unambiguous.

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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