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Stone Pagamentos MCP

openfinance_provider_status

Read-onlyIdempotent

Checks the LIVE operational status of the Open Finance provider (its public status page) — this is the PROVIDER's health, separate from your own connection's openfinance_get_item_status. Use it whenever data looks incomplete or stale even though a connection shows UPDATED (accounts/transactions/balances missing, a bank not returning everything): it reveals an upstream outage or a known incident on a specific bank/connector, so you can tell a provider-side problem apart from a connection that just needs reconnecting. Returns the global indicator (none/minor/major/critical), degraded components, open incidents, and — when you have banks connected — flags the incidents that affect YOUR connected banks in your_banks_affected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

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TDQS

A4.6/5.0
Behavior4/5

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

The description discloses what the tool returns: global indicator, degraded components, open incidents, and your_banks_affected. It adds context not in annotations, such as the live nature and the separation from connection status. Annotations already declare readOnly and idempotent, so the description goes beyond them, though it omits potential rate limits or external dependencies.

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 moderately detailed but each sentence adds value: purpose, usage trigger, and return details. It is front-loaded with the core function and structured logically. It could be slightly trimmed without losing meaning, but it is not unnecessarily verbose.

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 no parameters, no output schema, and rich annotations, the description fully covers what the tool does, when to use it, and what it returns. It also distinguishes from a sibling tool and explains the 'your_banks_affected' field, making it highly complete for the context.

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

Parameters4/5

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

The tool has zero parameters, so schema coverage is 100% by default. The description clarifies the tool's scope and output without needing parameter explanations, which aligns with the baseline of 4 for no-parameter tools.

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 'Checks the LIVE operational status of the Open Finance provider', using a specific verb and resource. It explicitly distinguishes this from openfinance_get_item_status by contrasting provider health with connection status, which differentiates it from a directly relevant sibling.

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

Usage Guidelines5/5

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

The description gives explicit when-to-use guidance: 'Use it whenever data looks incomplete or stale even though a connection shows UPDATED'. It also provides an alternative by mentioning openfinance_get_item_status and explains how to differentiate provider-side problems from connection issues, offering a clear decision framework.

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
Disambiguation4/5

Most tools have clearly distinct purposes, especially within the openfinance_* group (list vs get vs sync vs status). A few potential overlaps exist (e.g., openfinance_list_transactions vs openfinance_list_transactions_by_item, openfinance_get_account_balance vs openfinance_list_accounts), but descriptions are detailed enough to guide correct selection.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (e.g., openfinance_list_accounts, openfinance_get_item_status). However, non-openfinance tools (authenticate, connect, marketplace, toolkit_info) use a different style, and one tool (openfinance_list_transactions_by_item) breaks the pattern slightly. Overall readable and predictable within the primary domain.

Tool Count3/5

With 25 tools, the count is on the heavy side per the calibration rubric (16-25 feels heavy). The server covers a broad financial data domain, which justifies the number, but it may present a steep learning curve and potential overwhelm for agents.

Completeness4/5

The tool surface is comprehensive for read-only Open Finance data access: accounts, transactions, balances, bills, loans, investments, category management, connection lifecycle, and status monitoring. Minor gaps exist (e.g., no direct payment initiation, no investment transaction creation), but for the stated purpose of data and analysis, coverage is strong.