Retrieves detailed information about a specific publisher including its customization prefix, option value prefix, and configuration. Use this to inspect publisher properties and understand customization settings.
AI agents call get_dataverse_publisher to retrieve information from Dataverse MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation on publisher metadata in Dataverse. It retrieves configuration information without creating, modifying, deleting, or executing any operations. The blast radius of misuse is minimal—an agent could only access publisher properties that are already accessible via the Dataverse API, with no risk of data corruption, financial impact, or execution of arbitrary operations.
From the tool's definition Tool name contains 'get_' and description states 'Retrieves detailed information' with actions limited to 'inspect publisher properties and understand customization settings' — purely informational queries with no modifications, deletions, or side effects.
Attacks that exploit this kind of access
Retrieves detailed information about a specific publisher including its customization prefix, option value prefix, and configuration. Use this to inspect publisher properties and understand customization settings. It is categorised as a Read tool in the Dataverse MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for get_dataverse_publisher: 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 Dataverse MCP Server. Nothing to install.
get_dataverse_publisher 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 get_dataverse_publisher 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 get_dataverse_publisher. 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.
get_dataverse_publisher is provided by the Dataverse MCP Server MCP server (wizspdemo/dataverse-mcp3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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