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lzinga

US Government Open Data MCP

fdic_financials

Read-only

Retrieve quarterly Call Report financial data for FDIC-insured banks, including assets, deposits, net income, ROA, ROE, and loan loss reserves. Filter by bank or state, sort by date or asset size.

Instructions

Get quarterly Call Report financial data for FDIC-insured banks. Includes assets, deposits, net income, ROA, ROE, loan loss reserves. Filter by CERT number (specific bank) or STALP (state). Dollar values in thousands.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNoFilter: 'CERT:3511' (specific bank), 'STALP:"CA"', 'REPDTE:20240331' (quarter)
fieldsNoFields: 'CERT,INSTNAME,REPDTE,ASSET,DEP,NETINC,ROA,ROE'
sort_byNoSort field: 'REPDTE' (default), 'ASSET', 'NETINC'
sort_orderNoSort direction
limitNoMax results (default 25)
offsetNoPagination offset
Behavior3/5

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

Annotations declare readOnlyHint=true, and the description confirms it's a read operation. It adds context that dollar values are in thousands, but no disclosure of rate limits, authentication needs, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, front-loaded with the main purpose, and includes essential details without fluff. Every sentence contributes meaning.

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?

For a read-only data retrieval tool with no output schema, the description lists key financial metrics and units. It covers filtering and typical fields. However, it does not reference sibling tools or explain pagination beyond schema.

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% with detailed parameter descriptions. The description adds the note about dollar values in thousands, but this is minimal additional value beyond the schema.

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 the verb 'Get' and resource 'quarterly Call Report financial data for FDIC-insured banks', listing specific metrics. It distinguishes from sibling tools like fdic_deposits and fdic_summary by focusing on comprehensive quarterly financials.

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?

The description provides filter examples (CERT, STALP, REPDTE) implying use cases, but does not explicitly state when to use this tool over siblings or when not to use it.

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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