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sino_data_transfer_compliance

Evaluates outbound cross-border data transfer compliance from China to the EU under PIPL (Articles 38, 39, 40, 55), Data Security Law, and CAC 2024 Provisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoUNE API Key to access complete unredacted statutory articles and compliance audit report
is_ciioNoWhether the entity is designated as a Critical Information Infrastructure Operator (关键信息基础设施运营者).
has_important_dataNoWhether the dataset has been identified or notified by sector authorities as Important Data (重要数据).
annual_individuals_countYesCumulative number of individuals whose personal information has been transferred since January 1 of the current year.
has_sensitive_personal_infoYesWhether the transfer includes sensitive personal information (SPI) such as financial accounts, medical health, biometric, or location data.
sensitive_individuals_countNoCumulative number of individuals whose sensitive personal info has been transferred since January 1.
statutory_exemption_contextNoSpecific statutory purpose covered by CAC 2024 Provisions Article 5.NONE

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the exact statutory basis applied (PIPL 38/39/40/55, DSL, CAC 2024), implying a deterministic rule-based evaluation, but omits the redaction/API-key gating behavior and the shape of the result, both of which an agent needs to set expectations.

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?

A single front-loaded sentence with no filler or repetition. It is efficient, though notably terse for a multi-statute compliance evaluator, which leaves it slightly underweighted for the complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex regulatory-evaluation tool with seven parameters, no annotations, and no output schema, one sentence is thin. It never explains what the evaluation returns, how the redacted vs. unredacted API-key path affects output, or how the statutory exemption context influences the result.

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%, so the schema fully documents all seven parameters including thresholds, enum values, and defaults. The description adds no parameter-level detail, which is acceptable given the schema does the heavy lifting; baseline 3 applies.

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 verb ('Evaluates') and resource ('outbound cross-border data transfer compliance from China to the EU'), plus the governing legal frameworks. This is unmistakably distinct from the sibling tools covering import taxes, customs clearance, and API-key provisioning.

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 gives no when-to-use or when-not-to-use guidance and names no alternatives. It does not mention the related sibling 'provision_free_api_key' even though the api_key parameter implies an upgrade path, leaving routing entirely to inference.

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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