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Glama

Stone Pagamentos MCP

openfinance_force_sync

Forces the bank to re-sync one or more connections NOW and WAITS for it to finish (PATCH /items/:id, then polls until the item stops updating, up to ~60s). Use this when a balance or transaction list looks stale: a connection can read UPDATED yet be hours old, and this pulls fresh data WITHOUT disconnecting/reconnecting. Pass items as an array of selectors (item_id, connector_id, connector_name, or the user-set custom_label nickname); OMIT items to sync ALL linked banks. Returns { results, errors }; each result has the final status, executionStatus, lastUpdatedAt (advances when data is refreshed), and synced (true = fresh data is ready). needs_action (e.g. MFA_REINTERACTION / LOGIN_ERROR / WAITING_USER_INPUT) means the user must re-authenticate — those results include a reconnect_url that opens the widget in UPDATE mode for that exact connection (user enters credentials / MFA token, data refreshes in place, no slot consumed, no disconnect needed). timed_out: true means the sync is still running — re-check with openfinance_get_item_status. Set wait: false for fire-and-forget (returns immediately while UPDATING).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNo
itemsNo

Schema Changelog

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

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TDQS

A5/5.0
Behavior5/5

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

The description thoroughly discloses behavior beyond annotations: it waits up to ~60s, polls until the item stops updating, returns error details, handles authentication failures via reconnect_url, and supports fire-and-forget via wait=false. It explains what statuses like needs_action and timed_out mean, providing rich context not present in the annotations.

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 dense but well-organized, front-loading the core action and then covering usage, parameters, return values, and edge cases in a logical flow. Every sentence provides necessary information without filler, making it appropriately sized for the tool's complexity.

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?

The description is fully self-contained for a complex asynchronous mutation tool. It covers return structure (results/errors), field semantics (status, executionStatus, synced), authentication failure handling, timeout behavior, and provides next-step guidance (reconnect_url, openfinance_get_item_status). No output schema exists, so the description's thorough coverage is essential and complete.

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?

Even though the schema properties lack descriptions, the tool description fully explains both parameters: items accepts various selectors (item_id, connector_id, connector_name, custom_label) and can be omitted to sync all, while wait controls whether the call blocks or returns immediately. This adds semantic meaning far beyond the bare boolean/array types in 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 forces a re-sync of bank connections and waits for completion. It distinguishes itself from siblings by explicitly noting 'WITHOUT disconnecting/reconnecting' and by naming openfinance_get_item_status for follow-up status checks.

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 provides explicit when-to-use context: 'Use this when a balance or transaction list looks stale'. It also gives usage variations (sync specific items vs. all, wait vs. fire-and-forget) and references the alternative openfinance_get_item_status for timeout handling.

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.