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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_webhook_example

Generate ready-to-use webhook receiver code for Express, Next.js, Flask, Rails, or PHP. It includes signature verification, error handling, and event processing.

Instructions

Generate complete webhook receiver code for your framework. Returns ready-to-use code with signature verification, error handling, and event processing.

Supports: Node.js/Express, Next.js API routes, Python/Flask, Ruby/Rails, PHP.

See also: loyalteez://docs/guides/webhooks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointNoYour webhook endpoint URL (e.g., /webhooks/loyalteez)
frameworkYesFramework for code generation

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.5/5.0
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 behavioral burden. It usefully discloses that the returned code includes signature verification, error handling, and event processing, but it does not state whether the tool has side effects, requires authentication, or is rate-limited. The output-content description is helpful but incomplete for a no-annotation tool.

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 short and front-loaded, with purpose first, then output, then supported frameworks, then a link. There is minor redundancy between the first two sentences (both say it returns ready-to-use code), but overall it is efficient.

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?

With no annotations and no output schema, the description does well to explain what the tool returns (code with signature verification, error handling, and event processing) and which frameworks are supported. It could be more complete by clarifying side-effect expectations, but it covers the essential operational context for a code-generation tool.

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 description coverage is 100%, so the schema already documents both parameters and their meanings. The description adds a mapping between friendly framework names (e.g., Node.js/Express) and enum values, but it does not mention the endpoint parameter or add syntax/format details beyond 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 first sentence states a specific verb and resource: 'Generate complete webhook receiver code for your framework.' It clearly distinguishes the tool from webhook processing siblings like validate_webhook, but it does not explicitly name or rule out any sibling, so it falls short of the top score.

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 purpose implies when to use it (when you need ready-to-use receiver code for a given framework), but there is no explicit when-to-use statement, no exclusions, and no named alternatives. The 'See also' link is supplementary, not routing guidance.

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