share_resource_endpoint
Share Workspace Resource.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/share-resource-endpoint.md
What share_resource_endpoint does on Elevenlabs
AI agents call share_resource_endpoint to retrieve information from Elevenlabs without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
role | string | Yes | Role to grant to the target: one of 'admin', 'editor', 'commenter', or 'viewer'. |
group_id | string | null | — | |
user_email | string | null | — | |
resource_id | string | Yes | The ID of the target resource. |
resource_type | string | Yes | Resource types that can be shared in the workspace. The name always need to match the collection names |
workspace_api_key_id | string | null | — |
Parameters from the server's own tool schema.
Why share_resource_endpoint is rated Low
Even though share_resource_endpoint only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs share_resource_endpoint safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Elevenlabs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For share_resource_endpoint, this is the rule to start with:
share_resource_endpoint is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every share_resource_endpoint call is checked against it from then on.
Questions about share_resource_endpoint
Share Workspace Resource. It is categorised as a Read tool in the Elevenlabs MCP Server, which means it retrieves data without modifying state.
share_resource_endpoint accepts 6 parameters: role, group_id, user_email, resource_id, resource_type, workspace_api_key_id. Required: role, resource_id, resource_type. The full parameter table on this page comes from the server's own tool schema.
Register the Elevenlabs MCP server in PolicyLayer and add a rule for share_resource_endpoint: 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 Elevenlabs. Nothing to install.
share_resource_endpoint is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the share_resource_endpoint 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 share_resource_endpoint. 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.
share_resource_endpoint is provided by the Elevenlabs MCP server (@aiwerk/mcp-server-elevenlabs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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