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jflamb

FDIC BankFind MCP Server

by jflamb

Fetch FDIC BankFind Result

fetch
Read-onlyIdempotent

Retrieve full citation text and detailed record from FDIC BankFind by supplying a search result ID, such as institution:3511 or failure:1234.

Instructions

Use this when the model needs the full citation text for a result returned by search. Pass the search result id (e.g. 'institution:3511', 'failure:1234', 'branch:', 'schema:institutions').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRetrieval item id, such as institution:<CERT>, failure:<CERT>, branch:<UNINUM>, or schema:<endpoint>.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
urlYes
textYes
titleYes
metadataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv3.0.1
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • addedOutput schema / properties / metadata / propertyNames
      Added value: +{
      +  "type": "string"
      +}
  2. Addedv1.26.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds no additional behavioral context such as rate limits, authentication needs, or edge cases. It is not contradictory, but it does not enrich beyond the 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?

Two sentences with a clear when-to-use directive and concrete id examples. Every word earns its place, and the key guidance is front-loaded.

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 single-parameter, read-only, idempotent tool with an output schema, this is nearly complete. It explains what to pass and when to call it. The only gap is the lack of explicit differentiation from the similarly named sibling 'fdic_fetch'.

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 description coverage is 100% and includes the same id format examples as the description. The description reinforces the expected id syntax but does not add meaning beyond what the schema already provides.

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 the resource ('full citation text for a result returned by search') and distinguishes this from search tools. It does not explicitly distinguish itself from the sibling 'fdic_fetch', which creates minor ambiguity.

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?

It provides an explicit trigger condition: use when the model needs the full citation text from a search result. It does not list exclusions or alternatives, but the condition is specific enough for an agent to route correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.