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jflamb

FDIC BankFind MCP Server

by jflamb

Analyze Securities Portfolio

fdic_analyze_securities_portfolio
Read-onlyIdempotent

Evaluate an FDIC-insured institution's securities portfolio size, composition, and concentration risk. Obtain metrics such as securities-to-assets, MBS concentration, and risk signals in structured JSON format.

Instructions

Analyze securities portfolio size, composition, and concentration risk for an FDIC-insured institution.

Output includes:

  • Securities relative to total assets and capital

  • MBS concentration within the securities portfolio

  • AFS/HTM breakdown (when available)

  • Risk signals for portfolio concentration and interest rate exposure

  • Structured JSON for programmatic consumption

NOTE: This is an analytical tool based on public financial data. AFS/HTM breakdown is not currently available from the FDIC API.

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 indicate read-only, idempotent, non-destructive behavior. The description adds context: data source (public financial data), specific disclosures (AFS/HTM not available), and output contents (risk signals). This enriches transparency beyond 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 (about 6 lines) with clear bullet points and front-loaded purpose. Every sentence is informative and to the point.

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 has only 2 parameters, full schema coverage, and an output schema (as indicated), the description adequately covers the analytical purpose, output details, and a notable limitation (AFS/HTM breakdown). No gaps remain.

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 descriptions for both parameters. The description does not add further details about parameter usage or constraints, so baseline score of 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 clearly states it analyzes securities portfolio size, composition, and concentration risk. Lists specific output items. However, it does not differentiate from sibling analytical tools (e.g., fdic_analyze_credit_concentration) explicitly.

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 when-to-use or when-not-to-use guidance. The note about AFS/HTM unavailability is useful but does not cover usage context relative to alternatives.

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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