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BankRegReports

Bank Securities Portfolio

securities
Read-only

AFS / HTM holdings, unrealized gain/loss, sector breakdown. (Source: FFIEC Call Report (Schedule RC-B).) Dollar amounts are in thousands of US dollars ($000s); ratios are percentages.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "rssd_id": "<rssd_id>"
    },
    "name": "securities"
  }
}

Input Schema

NameRequiredDescriptionDefault
rssd_idYesFederal Reserve RSSD id.

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 earns credit for disclosing the data source and, importantly, the unit convention ($000s for dollar amounts, percentages for ratios), which prevents misreading magnitudes. However, it says nothing about the reporting period or as-of date — and since the only parameter is rssd_id, an agent cannot tell which quarter the holdings represent, which is a notable behavioral omission for a portfolio tool.

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?

Two short sentences with no filler; the content summary is front-loaded and the source/units note follows as supporting metadata. The opening is a noun fragment rather than a clause, which is slightly less scannable than a verb-led statement, but nothing is wasted.

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 carries the burden of explaining return values, and it does list the main components plus units, which is adequate. It leaves out the temporal scope and any indication of granularity (single period vs. history), so an agent cannot fully predict what it will receive.

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?

There is a single parameter with 100% schema description coverage, so the schema already defines rssd_id fully (including an example). The description adds no additional meaning about the identifier or its format. Baseline 3 is appropriate when the schema does all the work.

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 the concrete contents of the resource (AFS/HTM holdings, unrealized gain/loss, sector breakdown) and the upstream source (FFIEC Call Report Schedule RC-B), so an agent knows this is a per-bank securities portfolio snapshot. It stops short of an explicit verb or of naming how it differs from nearby tools such as securities_trends or industry_securities_trends, so sibling differentiation is left implicit.

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 when-to-use guidance, no prerequisites, and no alternatives referenced. The agent must infer from the name and the rssd_id parameter that this is a single-bank lookup rather than a trend or peer comparison, which is a meaningful gap given several similarly named securities tools.

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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