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Igniral

Igniral MCP Server

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by Igniral

igniral_generate_schema_from_prompt

Generate a complete backend application from a natural language description. Automatically creates all endpoints, JSON schemas, roles, and permissions.

Instructions

Generates a complete application from a natural language description. This tool creates the application, ALL endpoints with their JSON schemas, roles, and permissions automatically.

Use this when the user gives a general or ambiguous instruction like "build me a gym management app" or "create an API for a restaurant".

You do NOT need to call igniral_create_application or igniral_create_dynamic_endpoint after this — everything is created automatically. This may take 30-90 seconds to complete.

Returns the applicationId and a summary of what was created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesNatural language description of the application to generate. Be as detailed as possible about what the app should do and what data it should manage. Minimum 10 characters.
Behavior5/5

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

Despite no annotations, the description discloses behavioral traits: it creates everything automatically, takes 30-90 seconds, and returns applicationId and summary. This informs the agent of side effects and performance.

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 concise with three short paragraphs. Each sentence serves a purpose: stating the core function, providing usage context, and detailing outcomes. No unnecessary words.

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?

Given the single parameter and no output schema, the description covers all necessary context: what the tool does, when to use it, what not to do, timing, and return value. It is fully complete.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by advising to be as detailed as possible and mentioning the 10-character minimum, enhancing the schema's 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?

The description states 'Generates a complete application from a natural language description' with a clear verb and resource. It distinguishes from siblings by noting that igniral_create_application and igniral_create_dynamic_endpoint are unnecessary after this tool.

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

Usage Guidelines5/5

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

Explicitly says 'Use this when the user gives a general or ambiguous instruction' and advises against calling other tools afterward, providing clear when-to-use and when-not-to-use guidance.

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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