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jflamb

FDIC BankFind MCP Server

by jflamb

Show Bank Deep Dive Dashboard

fdic_show_bank_deep_dive
Read-onlyIdempotent

Retrieve a comprehensive dashboard for an FDIC-insured institution, displaying identity, financial metrics, risk signals, and source links in a scannable format.

Instructions

Use this when the user wants a scannable single-institution dashboard with identity, public financial metrics, risk signals, and source links. ChatGPT renders an interactive widget; Claude and other MCP clients render the same data as a Markdown table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
certYesFDIC Certificate Number of the institution to render.
repdteNoQuarter-end report date in YYYYMMDD format. Defaults to the most recent likely published quarter.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
institutionYes
assessmentYes
metricsYes
risk_signalsYes
warningsYes
sourcesYes
Behavior4/5

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

Annotations already declare readOnly and idempotent hints. The description adds client-specific rendering behavior (interactive widget vs. Markdown table), which is beyond what annotations provide. No contradictions.

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?

Two sentences, front-loaded with key information, no fluff. Efficiently conveys purpose, usage, and rendering behavior.

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?

Given the tool has only 2 parameters, annotations cover safety, and an output schema exists (not shown but indicated), the description provides a good overview of the dashboard content. It is complete enough for an agent to understand what to expect.

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?

Input schema has 100% coverage with descriptions for both parameters. The description does not add additional meaning beyond what is already in the schema, 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it shows a 'scannable single-institution dashboard' with specific content (identity, financial metrics, risk signals, source links), distinguishing it from sibling tools like fdic_get_institution or fdic_search.

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

Usage Guidelines4/5

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

The description explicitly says 'Use this when the user wants a scannable single-institution dashboard', providing clear usage context. It does not explicitly mention when not to use, but the positive guidance is strong.

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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