dpdp_consent_artifact_generator
Generates structured consent artifacts compliant with India's Digital Personal Data Protection Act (DPDP). Designed for legal teams to verify or create consent records with timestamped logs, purpose limitation, and data subject rights. Accepts data subject details, processing purpose, and legal b...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/dpdp-consent-artifact-generator.md
What dpdp_consent_artifact_generator does on Mcp Knowledge
AI agents use dpdp_consent_artifact_generator to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
legalBasis | string | Yes | Legal basis for processing under DPDP |
dataSubjectId | string | Yes | Unique identifier for the data subject |
dataCategories | array | — | Categories of personal data being processed |
processingPurpose | string | Yes | Specific purpose for data processing |
retentionPeriodDays | number | — | Retention period in days |
Parameters from the server's own tool schema.
Why dpdp_consent_artifact_generator is rated Medium
This tool creates and modifies consent records reversibly (typical Write category). However, the high severity reflects that misuse could generate fraudulent compliance artifacts to feign DPDP consent where none exists, enabling illegal data processing and violating privacy law. An AI agent could fabricate consent records for data subjects who never consented, creating legal liability and privacy violations.
From the tool's definition Tool 'generates structured consent artifacts' and 'create consent records with timestamped logs' — creates new compliance documentation. Returns 'signed artifact with audit trail' indicating persistent data creation.
Attacks that exploit this kind of access
The rule that runs dpdp_consent_artifact_generator safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dpdp_consent_artifact_generator, this is the rule to start with:
dpdp_consent_artifact_generator stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every dpdp_consent_artifact_generator call is checked against it from then on.
Questions about dpdp_consent_artifact_generator
Generates structured consent artifacts compliant with India's Digital Personal Data Protection Act (DPDP). Designed for legal teams to verify or create consent records with timestamped logs, purpose limitation, and data subject rights. Accepts data subject details, processing purpose, and legal basis as inputs. Returns a signed artifact with audit trail and validation status. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
dpdp_consent_artifact_generator accepts 6 parameters: async, legalBasis, dataSubjectId, dataCategories, processingPurpose, retentionPeriodDays. Required: legalBasis, dataSubjectId, processingPurpose. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for dpdp_consent_artifact_generator: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
dpdp_consent_artifact_generator is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the dpdp_consent_artifact_generator rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for dpdp_consent_artifact_generator. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
dpdp_consent_artifact_generator is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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