Appo MCP

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validate_setup

Analyzes package.json and configuration files to verify the Appo SDK is installed and set up correctly, catching integration problems before development starts.

Instructions

Validate @appolabs/appo SDK installation and configuration. Analyzes package.json and optionally checks import patterns.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "packageJson": "<packageJson>"
    },
    "name": "validate_setup"
  }
}

Input Schema

Name	Required	Description
`tsConfig`	No	Content of tsconfig.json (optional)
`sampleCode`	No	Sample code to check for proper SDK usage patterns
`packageJson`	Yes	Content of package.json file to analyze

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.1Jan 13, 2026

TDQS

B3.1/5.0

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It does not state whether the operation is read-only, requires any permissions, or has side effects. The term 'validate' implies inspection, but this is not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is a single, concise sentence that front-loads the core purpose. It is not verbose, but it could benefit from slightly more detail without becoming lengthy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema or annotations, the description is too sparse. It does not explain the format of validation results (e.g., boolean, list of issues) or any return value, leaving the agent uncertain about what to expect.

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 input schema has 100% description coverage, so the schema already documents each parameter. The description adds minimal context beyond 'optionally checks import patterns' for sampleCode, but this does not significantly enhance understanding over the schema.

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 clearly states the tool validates the @appolabs/appo SDK installation and configuration, specifying it analyzes package.json and optionally checks import patterns. This distinguishes it from sibling tools like check_permissions or generate_component.

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 implies the tool is used for validating SDK setup, but it does not explicitly state when to use it vs. alternatives (e.g., diagnose_issue). It lacks guidance on exclusions or prerequisites.

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