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FDIC Bank Lookup

ol_fdic_bank
Read-only

FDIC-insured banks and thrifts. Pass query for a name PREFIX search against ACTIVE institutions (largest-asset first), or omit it for the largest active institutions. Returns {summary, query?, found?, institutions}. UNITS: asset and dep are THOUSANDS of dollars. The store is loaded ACTIVE-ONLY, so a bank that merged away or failed is absent by construction; a name miss says whether a structure event explains it (structure_event). An unreachable store is REFUSED (DATA_UNAVAILABLE). limit default 25, hard cap 100. Source: FDIC.gov (public domain); FREE. ATTRIBUTION: every field is FDIC BankFind verbatim EXCEPT ticker, which is an Oxford Ledge-verified CERT-to-ticker mapping, not an FDIC-published field.

Input Schema

NameRequiredDescriptionDefault
limitNoMax institutions (default 25, hard cap 100).
queryNoInstitution name prefix (omit for the top-by-assets list).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint, so the description carries most of the burden and delivers: units (asset/dep in thousands), an ACTIVE-ONLY store with the merge/fail consequence, the DATA_UNAVAILABLE refusal on an unreachable store, and the `ticker` attribution caveat. This is exactly the behavioral context annotations cannot supply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and return shape, then units, store scope, error state, and attribution. Dense and telegraphic but every clause carries information; the ALL-CAPS emphasis aids scanning without adding waste.

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?

With no output schema, the description still describes the return shape ({summary, query?, found?, institutions}), units, active-only scope, error behavior, limit bounds, and source/attribution. An agent has everything needed to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds value beyond the schema: `query` is a prefix (not substring) match scoped to active institutions with largest-asset-first ordering, and it reinforces the limit default/cap. Prefix vs substring semantics are genuinely useful.

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?

States a specific resource (FDIC-insured banks and thrifts) and the exact lookup behavior: name-prefix search when `query` is passed, top-by-assets list when omitted. An agent immediately knows this is an FDIC institution lookup, distinct from the structure-events sibling it references.

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?

Explicitly explains the two usage modes (pass `query` for prefix search vs omit for the largest active institutions) and hints at the structure-event angle. It does not name an alternative sibling tool or state when-not-to-use, so it falls short of a 5.

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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