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BankRegReports

Common-Size Balance Sheet

common_size
Read-only

The Call Report balance sheet with every line as a share of total assets: subtotals, balance sheet ratios, how the mix moved since the prior quarter and a year earlier, and peers measured the same way, with each line's Schedule RC item and MDRM codes. (Source: FFIEC Call Report Schedule RC (BankRegReports).) 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": "common_size"
  }
}

Input Schema

NameRequiredDescriptionDefault
peersNoComma-separated RSSD ids for a custom peer list.
rssd_idYesFederal Reserve RSSD id.
quartersNoQuarters of detail, 1 to 20.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the description's job is to add data semantics, which it does: dollar figures in $000s, ratios in percentages, and the stated source of FFIEC Call Report Schedule RC. It still does not mention whether quarters of history affect payload size or how peer data behaves when peers are omitted.

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 content is packed into essentially two sentences with the defining concept (every line as a share of total assets) front-loaded, followed by the enrichment items and then the units/source note. Dense but efficient; the long middle clause listing ratios and comparisons slightly burdens scanning.

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

Completeness5/5

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

There is no output schema, yet the description enumerates what the response contains (subtotals, ratios, QoQ and YoY mix changes, peer columns, RC items and MDRM codes) and fixes the units for both dollar and percentage values. For a read-only data retrieval tool with fully covered parameters, nothing material is missing.

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%, so rssd_id, peers, and quarters are already documented, including a custom peer list and the 1-to-20 quarter range. The description only obliquely reinforces the peers parameter through 'peers measured the same way'; it adds no format or default guidance beyond the schema, so baseline 3 applies.

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?

States a specific resource and its transformation: Call Report balance sheet lines expressed as a share of total assets, plus subtotals, ratios, prior-quarter and year-earlier comparisons, peer measures, and RC/DMRM line identifiers. That is far more specific than the name alone, though there is no explicit verb (e.g., 'Retrieve') and no direct naming of a sibling it differs from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the data described: an agent can infer this is the tool for normalized, apples-to-apples balance sheet comparison over time and across peers. However, there is no explicit when-to-use vs. when-not, and no sibling such as bank_deep_dive or bank_trends is named as the alternative for raw or non-normalized figures.

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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