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BankRegReports

Treasury Backdrop

treasury_backdrop
Read-only

Treasury General Account balance, public debt and major foreign holders of Treasury securities. (Source: US Treasury.)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "treasury_backdrop"
  }
}

Input Schema

NameRequiredDescriptionDefault
periodNoTIC month, YYYY-MM-DD.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds provenance ('Source: US Treasury'), which is genuinely useful for trusting the numbers, but it does not clarify whether one call returns all three datasets together or how the single period parameter interacts with series that are not monthly TIC data. That ambiguity is the main behavioral gap.

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?

One compact sentence plus a source tag, with the data content front-loaded before the attribution. Nothing is padded, though the sentence is a bare noun list rather than a statement of what the tool does, which slightly weakens structure.

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?

With no output schema, the description must convey return content, and it does list the three data families, but it says nothing about units, frequency, or result shape (e.g., a single combined object versus per-series sections). For a zero-required-parameter, multi-dataset read tool this is adequate but leaves real gaps an agent would want filled.

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 coverage is 100% and the single parameter is documented as 'TIC month, YYYY-MM-DD' with an example, so the schema does the heavy lifting. The description adds nothing about the period parameter, notably whether it affects only the foreign-holders (TIC) data or also the TGA balance and public debt figures. Baseline 3 is appropriate.

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 names three specific data resources the tool returns: the Treasury General Account balance, public debt, and major foreign holders of Treasury securities. This is far more specific than the title 'Treasury Backdrop' and lets an agent distinguish it from siblings like rates_treasury_bill or securities. It lacks an explicit verb (retrieve/fetch) and does not explicitly contrast itself with those siblings, keeping it at 4 rather than 5.

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?

There is no guidance on when to call this tool versus alternatives, no mention of prerequisites, and no exclusions. The only implicit usage signal is the data-content list itself, which tells the agent what it gets but not when it is the right choice over a sibling such as rates_treasury_bill.

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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