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openfinance_list_investments

Read-onlyIdempotent

Returns the investment portfolio for a connection (broker or bank with INVESTMENTS product enabled): FIIs, stocks, ETFs, fixed income (CDB/LCI/LCA/Tesouro), mutual funds, retirement (previdência) and COE. Each row carries balance, amount, amountOriginal, amountProfit, lastMonthRate / annualRate / lastTwelveMonthsRate (when available), dueDate, issuer, ISIN, etc. Returns { total:0, results:[], warning } instead of throwing when INVESTMENTS isn't enabled (403) or other upstream errors. DATA INTEGRITY: when MULTIPLE positions come back as TOTAL_WITHDRAWAL with balance/quantity 0 at once (mass zeroing), the tool cross-checks each position's own transaction history upstream; if the zeroing is contradicted (BUY with no sale/redemption/transfer) the response carries data_integrity_warning and the affected rows are flagged integrity:'suspect_zeroed' — treat those balances as UNAVAILABLE (likely a temporary connector failure publishing zeros), never as real R$0, and do NOT sum them into the portfolio.

Bulk support: accepts item_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNo
pageNo
typeNo
item_idNo
item_idsNo
page_sizeNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. Added
  8. Removed
  9. Changed2 schema fields changed
    • addedInput schema / properties / item_id
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / item_ids
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
  10. Added
  11. Removed
  12. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint, idempotentHint), the description details error behavior (returns warning instead of throwing) and the data integrity mechanism for suspect zeroing, adding high transparency.

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 front-loaded with the main purpose and adds valuable detail on error handling and data integrity. Slightly verbose but each sentence adds value; could be more structured.

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

Completeness3/5

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

Covers return structure, data integrity, and bulk support, but lacks parameter explanations and pagination details. With no output schema, more on return fields would help.

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

Parameters2/5

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

With 0% schema description coverage, the description should explain parameters. It only mentions item_ids for bulk support, leaving 'item', 'page', 'type', 'page_size' unexplained despite listing investment types in the overview.

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 'Returns the investment portfolio for a connection' with specific asset types (FIIs, stocks, ETFs, etc.), distinguishing it from sibling tools like openfinance_list_investment_transactions. The verb 'returns' and resource 'investment portfolio' are precise.

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 implicitly guides when to use (to get portfolio overview) and includes behavioral notes on error handling and bulk support. However, it lacks explicit comparisons to siblings or 'when not to use' scenarios.

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

A3.7/5.0
Disambiguation4/5

Most openfinance_* tools target clearly distinct resources (accounts, transactions, bills, loans, investments, connections, categories). Minor overlap exists—list_accounts returns balances and list_transactions_by_item consolidates what list_transactions provides—but the detailed descriptions distinguish them adequately.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (get_*, list_*, update_*, force_sync, search_*) with one slight deviation: openfinance_provider_status omits a verb. The non-openfinance platform tools (authenticate, connect, marketplace, report_bug, etc.) break the prefix pattern, creating two naming conventions within the same server.

Tool Count3/5

25 tools sits at the upper boundary of acceptable for a comprehensive Open Finance banking adapter, covering accounts, transactions, credit cards, loans, investments, and connection management. However, including meta-platform tools like marketplace and toolkit_info inflates the count and makes the set feel heavier than a pure banking tool surface.

Completeness4/5

The tool surface covers the core Open Finance lifecycle well: list/get accounts, balances, transactions, credit card bills, loans, investments, connection management, category correction, and provider status. Gaps include no direct new-bank connection tool (only URLs) and no investment detail endpoint beyond transactions, but agents can work around these.