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FDIC BankFind MCP Server

Fetch FDIC BankFind Result

fetch
Read-onlyIdempotent

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

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering safety. The description adds that the tool returns 'full citation text' and includes id format examples. It does not delve into error behavior or the exact nature of the citation text, but with annotations the bar is met.

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, front-loaded sentence that directly states usage and gives concrete examples. No unnecessary words or repetition.

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?

With one simple parameter, a rich output schema, and strong annotations, the description sufficiently covers usage. It could mention error handling for invalid IDs, but the output schema and annotations fill most gaps. The description is complete for a straightforward fetch tool.

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% since the schema describes the single 'id' parameter with examples. The description repeats similar examples ('institution:3511', etc.) without adding new meaning. 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 retrieves 'full citation text' for a search result by ID, with a specific verb and resource. It distinguishes from sibling search/analysis tools by focusing on fetching a specific result. The title reinforces the purpose.

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 opens with 'Use this when the model needs the full citation text for a result returned by search,' giving clear when-to-use context. It provides the input format and examples. It does not explicitly name alternatives, but the context is sufficient.

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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TDQS

A3.6/5.0
Disambiguation1/5

Several tools have overlapping purposes, including exact duplicates: fdic_fetch/fetch and fdic_search/search. Analytical tools also overlap (analyze_bank_health, ubpr_analysis, detect_risk_signals), making it hard for an agent to distinguish them.

Naming Consistency2/5

Most tools follow a fdic_verb_noun pattern, but two tools (fetch, search) lack the fdic_ prefix, breaking consistency. The verb style varies (get, search, analyze, compare, detect) but the prefix inconsistency is the main issue.

Tool Count2/5

At 29 tools, the server is over the typical limit and includes redundant pairs that inflate the count. The broad FDIC domain justifies many tools, but the duplicates indicate poor scoping.

Completeness4/5

The server covers all major FDIC data resources: institutions, failures, financials, branches, history, demographics, SOD, and summary, plus analytical tools. No major gaps are evident for its read-only data and analysis purpose.

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