Pulse MCP Server

create_payment_link

Generate payment links for customers to complete transactions by specifying title, amount, and optional description and currency.

Instructions

Create a new payment link that customers can use to pay

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": {
      "title": "<title>",
      "amount": "<amount>"
    },
    "name": "create_payment_link"
  }
}

Input Schema

Name	Required	Description
`title`	Yes	Payment link title
`description`	No	Description shown to payer
`amount`	Yes	Amount to charge (e.g. '29.99')
`currency`	No	Currency code (USD or BRL, defaults to USD)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Feb 20, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a payment link but doesn't cover critical aspects like whether this is a write operation (implied by 'Create'), permission requirements, rate limits, idempotency, or what the response includes. This leaves significant gaps for a mutation tool.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly.

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., side effects, error handling), usage context, and return values, which are essential for an AI agent to invoke it correctly and safely.

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 fully documents all 4 parameters. The description adds no additional meaning beyond what's in the schema, such as examples or constraints not covered. Baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

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 action ('Create') and resource ('new payment link'), specifying its purpose for customer payments. It distinguishes from siblings like 'generate_invoice' or 'send_invoice' by focusing on payment links, but doesn't explicitly contrast with 'list_payment_links' or 'get_payment_link'.

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_invoice' or 'send_invoice', nor does it mention prerequisites such as authentication or setup requirements. The description implies usage for creating payment links but lacks context for decision-making.

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