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Igniral

Igniral MCP Server

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by Igniral

igniral_create_application

Create an empty application shell to manually build APIs step by step. After creation, add endpoints individually using the provided application ID.

Instructions

Creates an empty application shell (without endpoints). Use this when the user wants to manually build an application step by step, providing a specific name, description, and settings.

After creating the application, use igniral_create_dynamic_endpoint to add API endpoints one by one. Returns the applicationId needed for creating endpoints.

Do NOT use this after igniral_generate_schema_from_prompt — that tool already creates the application automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the application (e.g., 'GymApp', 'Pet Store API')
descriptionYesDescription of what the application does
versionNoAPI version (default: 'v1')
subdomainNoCustom subdomain for the API (lowercase, hyphens allowed). If not provided, one is generated automatically.
aiGeneratedContextNoAI-generated context/documentation for the application
isPrivateNoWhether the app is private (default: true). Private apps require authentication for all endpoints. Public apps can have some endpoints visible without auth.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses creation of empty shell, return of applicationId, and inability to create endpoints. Lacks details on safety (creation is typically non-destructive) and authentication requirements.

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?

Concise multiple sentences, each adding value. Front-loaded with key purpose, no wasted words.

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?

Despite lack of output schema, description explains return of applicationId. Context of workflow is provided. 6 parameters with full schema descriptions, but no details on output format beyond applicationId.

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?

Schema coverage is 100%, so parameters are well-documented in schema. Description mentions name, description, and settings but adds no extra semantic value beyond schema.

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 clearly states it creates an empty application shell without endpoints. It distinguishes from siblings by explicitly mentioning the workflow: use after this tool for endpoints, and do not use after schema generation.

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?

Provides explicit when-to-use: manual step-by-step building. Gives clear exclusions: do not use after igniral_generate_schema_from_prompt. Directs to sibling tool for adding endpoints.

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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