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Indian Cyber Regulation Register (BitScore)

Which cyber regulations apply across India, the US and the EU

find_global_cyber_regulations
Read-onlyIdempotent

For an organisation operating across India, the US and the EU, lists the cyber and data-protection regimes that apply, may apply (check) or are pending, with why and a caution for each. All flags default to false and sizes/sectors to none.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
secNoSEC status.
sizeNoEnterprise size.
hipaaNoCovered entity or business associate under HIPAA.
nydfsNoRegulated by the New York DFS.
us_bankNoUS banking organisation.
nis2_sectorNoNIS2 sector annex.
india_listedNoListed on an Indian stock exchange.
ftc_safeguardsNoNon-bank financial institution under the FTC Safeguards Rule.
cra_manufacturerNoManufacturer of products with digital elements sold in the EU.
eu_personal_dataNoProcesses personal data of people in the EU.
india_operationsNoOperates in India.
us_personal_dataNoHolds personal data of US residents.
india_personal_dataNoProcesses digital personal data of individuals in India.
dora_financial_entityNoEU financial entity under DORA.
india_financial_regulatedNoRegulated by RBI, SEBI, IRDAI or IFSCA.
ict_provider_to_eu_financeNoICT third-party provider to EU financial entities.
us_critical_infrastructureNoUS critical-infrastructure sector.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare this a read-only, idempotent, non-destructive, closed-world operation, so the safety profile is covered. The description adds genuine value beyond that by disclosing the returned structure: applicability classification per regime plus a 'why' and a 'caution' for each.

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?

Two sentences, front-loaded with the scope and operator profile, second sentence covering defaults. Dense but every clause carries information; no filler.

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 no output schema, the description must explain returns, and it does: applicability status, rationale, and a caution per regime. Combined with the fully-covered input schema, an agent has enough to invoke and interpret the result, though the sibling overlap remains unresolved.

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% across all 17 parameters, so the schema already documents each flag, enum, and boolean. The description only adds default-value behavior, which is marginal, so the baseline 3 is correct.

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?

States a specific verb (lists) and resource (cyber and data-protection regimes) with geographic scope and output classification (applies / may apply / pending). It does not distinguish itself from the close sibling find_applicable_regulations, so it falls short of a 5.

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

Usage Guidelines3/5

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

The note that 'all flags default to false and sizes/sectors to none' implies the tool can be called with no arguments for a baseline scan, which is useful. However, there is no explicit when-to-use guidance and no routing against find_applicable_regulations, so usage is only implied.

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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