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Mercado Pago MCP

by io.github.mcp-dir

openfinance_update_transaction_category

Corrects the category of one or more transactions (PATCH /transactions/:id). Pass items as an array of { transaction_id, category_id } — transaction_id comes from openfinance_list_transactions, category_id from openfinance_list_categories. This overrides Pluggy's automatic categorization AND teaches Pluggy: recategorizing a transaction automatically creates a Category Rule for this client (case-insensitive exact match on the transaction's data), so FUTURE similar transactions are categorized the same way — use this to fix miscategorized transactions and improve categorization accuracy going forward. Batch shape: returns { updated, results: [{ transaction_id, category, categoryId }], errors: [{ id, status, message }] } — per-item errors do not fail the whole batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses important behavioral traits beyond the annotations: it overrides automatic categorization, teaches the system by creating a Category Rule, and explains batch behavior with per-item errors. Annotations provide no hints (readOnlyHint=false, destructiveHint=false), so the description carries full burden and does so thoroughly.

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 a single, well-structured paragraph. It front-loads the purpose, then details parameters, side effects, and return shape. While dense, it remains clear and each sentence adds value; minor redundancy could be trimmed.

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

Completeness5/5

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

Given the tool's complexity (batch update, side effect, error handling) and lack of output schema, the description covers the return shape, parameter provenance, and behavioral implications. It is complete enough for an AI agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates fully by explaining the items array structure: 'Pass `items` as an array of { transaction_id, category_id }' and specifies where to obtain each ID. It also outlines the return shape, adding meaning beyond the 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?

The description clearly states the tool's purpose: 'Corrects the category of one or more transactions (PATCH /transactions/:id).' It uses specific verb-resource phrasing and distinguishes from sibling tools like openfinance_list_transactions and openfinance_list_categories by mentioning where to obtain the IDs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use the tool: 'use this to fix miscategorized transactions and improve categorization accuracy going forward.' It also implies when not to use it by warning about the side effect of creating a category rule, but does not explicitly list alternatives or exclusions.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose. Even overlapping-looking tools like list_transactions vs list_transactions_by_item are clearly differentiated (per-account vs consolidated per-connection), and get vs list variants follow standard conventions. The marketplace tool bundles multiple actions but is its own meta-tool. No two tools appear to do the same thing.

Naming Consistency4/5

The openfinance_ prefix provides a consistent pattern for banking operations, with clear get/list/update/force_sync verbs. A few non-prefixed meta tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) break the pattern, but they represent different functional domains and are still readable. Overall the convention is predictable.

Tool Count3/5

At 25 tools, this is on the heavy side per the calibration guidelines (16-25 feels heavy). However, the breadth of Open Finance resources (accounts, transactions, investments, loans, credit cards, connections, plus meta operations) largely justifies the count. It's borderline and could benefit from consolidation, but it's not excessive.

Completeness4/5

The tool surface covers the domain comprehensively: listing and getting accounts, transactions, investments, loans, credit card bills, connections, status, sync, category management, and provider health. Missing operations are minor (e.g., no explicit 'get single transaction' but list covers it; no create/update on banking data besides category and disconnect). Core workflows are fully supported.

Resources