Skip to main content
Glama
lzinga

US Government Open Data MCP

bea_international_investment

Read-only

Access U.S. international investment position data showing end-of-period stocks of financial assets and liabilities, with options for type of investment and component.

Instructions

Get U.S. international investment position (IIP) data.

Shows end-of-period accumulated stocks of U.S. financial assets and liabilities.

TypeOfInvestment examples:

  • FinAssetsExclFinDeriv: U.S. assets excl derivatives (default)

  • FinLiabsExclFinDeriv: U.S. liabilities excl derivatives

  • DirInvAssets: Direct investment assets

  • FinLiabsFoa: Liabilities to foreign official agencies

Component: 'Pos' (position), 'ChgPosTrans' (change from transactions), 'ChgPosPrice' (from price changes), 'ChgPosXRate' (from exchange rates)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
type_of_investmentNo'FinAssetsExclFinDeriv' (default). Use bea_dataset_info for full list.
componentNo'Pos' (position, default), 'ChgPosTrans', 'ChgPosPrice', 'ChgPosXRate', or 'All'
frequencyNo'A' (annual, default), 'QNSA' (quarterly not seasonally adjusted)
yearNoYear(s): 'ALL' (default), or comma-separated years
Behavior3/5

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

Annotations already declare readOnlyHint=true, and the description's 'shows' and 'Get' align with that. No additional behavioral details (e.g., data freshness, pagination, rate limits) are provided beyond what annotations convey.

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 purpose and uses bullet points for examples. It is reasonably concise, though could trim some redundancy with schema descriptions.

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

Completeness2/5

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

Lacks any description of the output format or structure (no output schema). For a data retrieval tool, this is a notable gap. The list of component examples helps, but completeness is low given the absence of return value context.

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?

Schema description coverage is 100%; the description adds example values but does not significantly enhance meaning beyond the schema. For high coverage, baseline 3 is appropriate.

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 'Get U.S. international investment position (IIP) data' and specifies 'end-of-period accumulated stocks'. This verb+resource pairs well with sibling tools like bea_international_transactions, which deals with flows, not stocks.

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 guidance is given on when to use this tool over alternatives like bea_international_transactions or bea_intl_services_trade. The description provides parameter examples but lacks context on selection criteria or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lzinga/us-gov-open-data-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server