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init-app-mcp

by TechQuanta

get_init_app_command_metadata

Returns init-app CLI command metadata, flags, values, and workflow to guide AI clients in constructing validated command arguments.

Instructions

First step: return init-app command metadata, flags, values, and workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
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 of behavioral disclosure. It states the tool returns metadata, flags, values, and workflow, clearly indicating a read-only operation. However, it does not disclose any potential edge cases, dependencies, or side effects, though the absence of parameters makes such details less critical. The description is functional but not rich in 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the key workflow label ('First step') and then enumerates the exact content returned. Every word contributes to the agent's understanding, and there is no wasted text.

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?

Given the tool has no parameters and an output schema exists, the description provides sufficient context: it labels the tool as the initial step and lists the outputs (metadata, flags, values, workflow). It does not explain the workflow itself, but that is likely part of the output schema, so the description need not be more detailed. The minimal complexity makes this complete enough.

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

Parameters4/5

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

The input schema has no properties, so parameter semantics are trivially complete. The rubric assigns a baseline of 4 for zero-parameter tools, and the description does not need to add parameter meaning. It appropriately avoids discussing parameters that do not exist.

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 states a clear verb and resource: 'return init-app command metadata, flags, values, and workflow.' It is specific about what the tool does and identifies the init-app command as its subject. However, it does not directly name sibling tools or highlight how it differs from them, so it stops short of the highest clarity level.

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 description opens with 'First step,' which implies a recommended position in a workflow but gives no explicit guidance on when to choose this tool over siblings like build_init_app_command or recommend_init_app_flags. There are no stated alternatives or exclusions, leaving the agent to infer usage from the label 'First step.'

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.