FrameIO MCP Server

generate_hook

Generate custom React hooks with FrameIO SDK integration by specifying module ID, hook name, parameters, return type, and optional SDK hooks to produce ready-to-use TypeScript code.

Instructions

Generate custom React hooks with SDK integration

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": {
      "moduleId": "<moduleId>",
      "hookName": "<hookName>",
      "description": "<description>",
      "returnType": "<returnType>"
    },
    "name": "generate_hook"
  }
}

Input Schema

Name	Required	Description
`hookName`	Yes	Hook name (must start with "use", e.g., useOrderStatistics)
`moduleId`	Yes	Module ID (kebab-case)
`parameters`	No	Hook parameters (optional)
`returnType`	Yes	TypeScript return type
`description`	Yes	Hook description
`usesSDKHooks`	No	SDK hooks to use (optional)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Sep 4, 2026

TDQS

C2.8/5.0

Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only states the action and target, but doesn't mention side effects (e.g., file creation), permissions required, output format, or reversibility. This is insufficient for an agent to know what happens when the tool is invoked, so a 2.

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

Conciseness3/5

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

The description is a single sentence, which is concise and front-loaded. However, it's so brief that it omits critical context, making it under-specified rather than appropriately concise. It does not waste words, but it lacks structure and useful details, so a 3.

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?

This tool has 6 parameters, 4 required, and no output schema. The description provides only the core purpose and gives no information about expected outcomes, return types, or the generation process. Given the complexity and lack of output schema, the description is incomplete and would leave an agent uncertain about what to expect, so a 2.

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 covers all parameters with descriptions, so the schema does the heavy lifting. The description itself doesn't add any parameter-specific meaning beyond what's already in the schema. Given 100% schema coverage, the baseline is 3, and the description adds no extra value, so a 3.

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 generates custom React hooks and mentions SDK integration, giving a specific verb and resource. However, it doesn't distinguish from sibling generation tools like generate_entity or generate_page, though the resource type is distinct. This is clear but not fully differentiated, so a 4.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like generate_entity or generate_page. The description doesn't mention any conditions or exclusions, leaving the agent to infer usage from the name alone. This is a significant gap, so a 2.

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