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Stratalize Governance

get_occ_enforcement_actions

Read-only

Use when assessing regulatory risk for a national bank or federal thrift before a merger, acquisition, partnership, correspondent banking relationship, or vendor engagement. Returns active and historical OCC enforcement actions — formal agreements, consent orders, cease-and-desist orders, and civil money penalties — the same records OCC examiners pull during supervisory reviews. Example: First National Bank of Springfield — formal agreement active since March 2022 requiring BSA/AML program overhaul, independent compliance consultant, and quarterly progress reports to OCC — agreement not yet terminated, elevates acquisition risk materially. Source: OCC Enforcement Actions — official supervisory records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
institution_nameYesBank or thrift name (e.g. First National Bank of Springfield)

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds meaningful transparency by disclosing that returns include both active and historical actions, the specific enforcement action types, and that the source is official OCC supervisory records, which goes 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.

Conciseness4/5

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

The description is front-loaded with the use case and returns, includes a concrete example, and cites the source. It is slightly long but every sentence contributes useful context; the structure is logical and easy to scan.

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 simple one-parameter read-only tool with no output schema, the description covers the purpose, use cases, data scope (active/historical, action types), source authority, and a realistic example. It is complete enough for an agent to select and invoke the tool with confidence.

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% and the sole parameter institution_name already includes an example ('First National Bank of Springfield'). The description reinforces this example but adds little beyond what the schema provides, so the baseline of 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 'Returns active and historical OCC enforcement actions' and specifies the resource (OCC supervision records). It distinguishes itself from sibling tools by naming the exact regulator and action types (formal agreements, consent orders, cease-and-desist orders, civil money penalties), making its unique purpose unmistakable.

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 frames when to use the tool: 'Use when assessing regulatory risk for a national bank or federal thrift before a merger, acquisition, partnership, correspondent banking relationship, or vendor engagement.' It provides strong contextual guidance but does not explicitly state when not to use it or name alternatives, so it stops 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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TDQS

A4.1/5.0
Disambiguation5/5

Every tool targets a distinct regulatory domain or data source—from OFAC sanctions to CRA ratings to NIST AI RMF—with clear boundaries. Even the three screening tools (OFAC, OIG, SAM) differ by governing agency and list, and their descriptions explicitly disambiguate them.

Naming Consistency5/5

All tools follow the consistent lower_snake_case pattern 'get_<domain>_<focus>', such as get_ofac_sanctions_screening and get_us_state_ai_legislation. There are no mixed conventions, vague verbs, or unexpected abbreviations.

Tool Count4/5

18 tools is slightly above the ideal 3-15 range but appropriate for a broad governance data server covering federal, state, and international regulatory sources. Each tool corresponds to a meaningful dataset, so the count feels justified rather than padded.

Completeness4/5

The surface covers a wide array of governance and compliance domains, including AI regulation, financial enforcement, sanctions, and legal screening, with no critical dead ends for typical lookups. However, it lacks some common regulatory areas (e.g., SEC, HIPAA, GDPR) and offers only read-only access, which is acceptable but not exhaustive.

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