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jflamb

FDIC BankFind MCP Server

by jflamb

Generate QBP Lite Data Bundle

fdic_qbp_lite_data
Read-onlyIdempotent

Build chart-ready QBP Lite reports from FDIC BankFind quarterly financials, delivering executive snapshot metrics, trend series, and community-bank comparison data with source notes.

Instructions

Build chart-ready data for a concise QBP Lite report from reproducible public BankFind quarterly financials. Includes executive snapshot metrics, trend series, community-bank comparison data, source notes, and explicit exclusions for non-public or non-BankFind QBP items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repdteNoQuarter-end Report Date (REPDTE) in YYYYMMDD format. If omitted, the tool searches backward from the latest likely published quarter until data is found.
trend_quartersNoNumber of quarterly observations to return for trend charts, including the current quarter. Default 20 quarters.
include_community_banksNoInclude a compact community-bank-vs-industry comparison using the public community-bank flag.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds valuable context beyond these, such as including 'explicit exclusions for non-public or non-BankFind QBP items' and describing the output components. No contradictions with 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?

The description is a single, concise sentence that efficiently communicates the tool's purpose, output contents, and constraints (exclusions). No redundant information; every phrase earns its place.

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 three well-documented parameters (100% schema coverage) and the presence of an output schema (as per context signals), the description adequately covers what the tool does and produces. It mentions key output categories and exclusions, providing sufficient context for correct invocation.

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?

The input schema has 100% description coverage, so the schema already explains the parameters (repdte, trend_quarters, include_community_banks). The description does not add further detail about their semantics or usage, meeting the baseline expectation.

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 tool's purpose: 'Build chart-ready data for a concise QBP Lite report from reproducible public BankFind quarterly financials.' It lists specific outputs (executive snapshot metrics, trend series, community-bank comparison data, source notes) and exclusions, distinguishing it from sibling tools like fdic_fetch or fdic_search_financials that deal with raw data.

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 provides clear context (chart-ready data for QBP Lite reports from public BankFind data) but does not explicitly specify when to use this tool over alternatives or when not to use it. Sibling tools such as fdic_analyze_* indicate different analytical use cases, but no direct comparison is made.

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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