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Search FDIC-Insured Banks

fdic.institutions.search
Read-onlyIdempotent

Search 4,300+ FDIC-insured US financial institutions by name, city, state, or charter type. Returns bank name, FDIC certificate number, total assets, deposits, and location. Official US Government data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity name filter (e.g. "New York", "San Francisco")
nameNoPartial or full institution name to search (e.g. "Chase", "Wells Fargo")
limitNoNumber of results to return, max 50 (default 10)
stateNoUS state name filter (e.g. "California", "New York")
activeNoFilter by active status. Default true (only active institutions)
charter_classNoCharter type: N=national, SM=state member, NM=state nonmember, SB=savings bank, OI=OCC-supervised

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare the tool as read-only, non-destructive, idempotent, and open-world. The description adds that it returns specific fields and is official US government data, but does not disclose behavioral traits like pagination, data freshness, or rate limits beyond what annotations provide.

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 two sentences long, front-loaded with the key value proposition (4,300+ institutions), and includes all essential purpose and output information without any fluff.

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?

The description covers the search capability, filters, and return fields. With an output schema present and a simple flat structure, the description is largely complete. Could mention default limit or max results, but those are in the schema.

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 describes all 6 parameters with clear descriptions. The description only restates some parameters (name, city, state, charter_type) without adding extra semantic detail. Since schema coverage is 100%, baseline 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 the tool's purpose: searching FDIC-insured US financial institutions by various criteria. It includes the number of institutions, searchable fields, and output fields, distinguishing it from sibling tools like fdic.institutions.details.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives such as fdic.institutions.details or fdic.institutions.financials. No explicit context about appropriate use cases or exclusions.

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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