Export project data in JSON-LD format using a configured export profile. Use fetch_json_ld_import_profiles first to discover the configTypeId. At least one of exportTypes/exportElements/exportTaxonomies/exportDataTypes must be true. Tree-based mode (graphBased=false) requires exactly one nodeId; ...
Risk signalsHigh parameter count (11 properties)
Part of the Coremodels server.
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AI agents use export_json_ld to create or modify resources in Coremodels. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call export_json_ld repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Coremodels.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"export_json_ld": {
"limits": [
{
"counter": "export_json_ld_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Coremodels policy for all 9 tools.
These attack patterns abuse exactly the kind of access export_json_ld gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Export project data in JSON-LD format using a configured export profile. Use fetch_json_ld_import_profiles first to discover the configTypeId. At least one of exportTypes/exportElements/exportTaxonomies/exportDataTypes must be true. Tree-based mode (graphBased=false) requires exactly one nodeId; graph-based mode allows multiple or none.. It is categorised as a Write tool in the Coremodels MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coremodels MCP server in PolicyLayer and add a rule for export_json_ld: 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 Coremodels. Nothing to install.
export_json_ld 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 export_json_ld 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 export_json_ld. 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.
export_json_ld is provided by the Coremodels MCP server (https://go.coremodels.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Coremodels tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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