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hdbookie

Mercado Pago MCP Server

by hdbookie

create_payment_link

Generate a payment link (checkout preference) with product title, amount, quantity, redirect URLs, and expiration date for collecting payments via Mercado Pago.

Instructions

Create a payment link (checkout preference)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesProduct/service title
amountYesPrice
quantityNoQuantity
failureUrlNoRedirect URL after failure
pendingUrlNoRedirect URL for pending
successUrlNoRedirect URL after success
expirationDateNoExpiration date (ISO format)
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely states that it creates a payment link, but gives no information about side effects, required permissions, idempotency, currency handling, or what the response contains. For a mutation tool with zero annotation coverage, this is a significant transparency gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is efficient in length, but it borders on under-specification. It front-loads the purpose but omits any additional context that would make the sentence earn its place beyond restating the tool's name. It is not bloated, but it is not richly informative either, so a middle score is appropriate.

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?

Given the tool has 7 parameters, no annotations, and no output schema, the description is insufficiently complete. It does not explain what a 'checkout preference' entails, whether the link is hosted or generated, or what the return value might be. The description fails to fill the gaps left by the missing annotations and output schema, leaving the agent with only the raw parameter list.

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?

The input schema provides descriptions for all 7 parameters (100% coverage), so the schema already carries the semantic weight. The description itself adds no parameter-level meaning beyond the tool's name. Since schema coverage is high, the baseline of 3 is appropriate, but the description does not enhance understanding of any specific parameter.

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 the resource ('a payment link'), with a parenthetical elaboration ('checkout preference') adding a bit of context. It does not explicitly differentiate from sibling tools like 'create_payment' or 'create_pix_payment', so it loses a point for missing sibling differentiation.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, use cases, or scenarios where this tool is preferred over the many sibling tools that also create payments or related entities. The only content is the purpose statement, so usage guidance is absent.

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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