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Glama

Banrisul MCP

by io.github.mcp-dir
OverviewAdmin

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. 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"
+}
  2. Added
  3. Removed
  4. First observed

TDQS

A3.7/5.0
Behavior5/5

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

Adds significant behavioral context beyond annotations: details error handling (returns warning object instead of throwing for INVESTMENTS disabled), data integrity checks with cross-referencing transaction history, and mass zeroing detection. All consistent with readOnlyHint and idempotentHint.

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?

Well-structured with front-loaded purpose, clear sections for error handling and data integrity. Slightly verbose in listing return fields, but every sentence adds value. Conciseness is good but not perfect.

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

Completeness4/5

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

Provides comprehensive behavioral details and error scenarios, compensating for no output schema by describing return fields and warning objects. Lacks explicit pagination description and connection sourcing context, but overall adequate for read-only tool with annotations.

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?

With 0% schema coverage, description partially compensates by explaining bulk support via item_ids and implying item refers to connection ID. However, it does not describe page, type, item_id, or page_size, leaving gaps.

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 it returns an investment portfolio for a connection, listing specific asset types. It distinguishes from siblings like list_investment_transactions by focusing on portfolio snapshot rather than transaction history, but does not explicitly differentiate.

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?

No explicit guidance on when to use this tool vs siblings (e.g., list_investment_transactions). Provides context on bulk support and error handling but no alternatives or when-not-to-use criteria.

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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