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jflamb

FDIC BankFind MCP Server

by jflamb

Analyze Funding Profile

fdic_analyze_funding_profile
Read-onlyIdempotent

Analyze an FDIC-insured institution's deposit composition, wholesale funding reliance, and funding risk. Outputs core, brokered, foreign deposit shares, FHLB advances relative to assets, cash ratio, and supervisory risk signals.

Instructions

Analyze deposit composition, wholesale funding reliance, and funding risk for an FDIC-insured institution.

Output includes:

  • Deposit composition (core, brokered, foreign deposit shares)

  • Wholesale funding reliance and FHLB advances relative to assets

  • Cash ratio for near-term liquidity

  • Funding risk signals based on supervisory thresholds

  • Structured JSON for programmatic consumption

NOTE: This is an analytical tool based on public financial data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
certYesFDIC Certificate Number
repdteNoReport date (YYYYMMDD). Defaults to most recent quarter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive. Description adds context by stating it's analytical and based on public financial data, and notes output format (structured JSON). This exceeds minimal value expected from annotations.

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?

Description is concise, well-structured with bullet points, and front-loaded with the main purpose. Every sentence adds value with no wasted words.

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?

Given the tool's complexity, annotations, and output schema, the description provides sufficient context: what it analyzes, output components, data source, and usage note. No gaps identified.

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 clear parameter descriptions. The description does not add additional meaning beyond what the input schema provides, so baseline score of 3 applies.

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?

Description clearly states the tool analyzes deposit composition, wholesale funding reliance, and funding risk for FDIC-insured institutions. It distinguishes from siblings by specifying these unique analytical focuses.

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?

No explicit guidance on when to use this tool versus siblings. The context is implied by the name and description, but no alternatives are mentioned.

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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