Payram

Generate payment route snippet

generate_payment_route_snippet

Read-onlyIdempotent

Generates a ready-to-use backend endpoint (e.g., /api/pay/create) that creates a Payram payment.

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": {
      "framework": "<framework>"
    },
    "name": "generate_payment_route_snippet"
  }
}

Input Schema

Name	Required	Description	Default
`framework`	Yes	Web framework for the payment route handler (Express.js or Next.js)

Output Schema

Name	Required	Description	Default
`meta`	Yes
`notes`	No
`title`	Yes
`snippet`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 8, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

changedOutput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

First observedFeb 18, 2026

TDQS

B3.3/5.0

Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds that the output is a ready-to-use endpoint that creates a Payram payment, but does not disclose side effects, auth requirements, or rate limits; with annotations present, a 3 is appropriate.

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?

A single front-loaded sentence with a concrete example and no filler. It is appropriately sized for a simple one-parameter tool.

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

Completeness3/5

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

The schema fully documents the only parameter and the output schema means return values need not be explained. However, given the many similar sibling snippet generators, the description does not help an agent choose this tool over alternatives, leaving a meaningful selection gap.

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% and the single required 'framework' parameter has an enum with its own description. The tool description does not mention the framework parameter, so baseline 3 is correct when the schema does the heavy lifting.

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?

States a specific verb ('Generates') and resource ('backend endpoint ... that creates a Payram payment') with a concrete example path. It is clearly a code-endpoint generator, but it does not explicitly distinguish itself from similar sibling tools like snippet_express_payment_route or generate_payment_http_snippet.

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?

The description says only what the tool produces. It gives no when-to-use guidance, prerequisites, or comparison with alternative snippet generators, so an agent must infer the appropriate context.

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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