dataverse_read_record
Read a single record from a Dataverse table by ID
This record as markdown: /tools/ajscheuer-dataverse-mcp/dataverse-read-record.md
What dataverse_read_record does on Dataverse MCP Server
AI agents call dataverse_read_record to retrieve information from Dataverse MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why dataverse_read_record is rated Low
This tool retrieves data by querying a record using its ID. It performs no modifications, deletions, or external operations—purely a lookup/fetch operation. While the server supports destructive operations (dataverse_delete_record) and writes (dataverse_create_record, dataverse_update_record), this specific tool is limited to read-only retrieval.
From the tool's definition Tool name is 'dataverse_read_record' and description states 'Read a single record from a Dataverse table by ID'. The verb 'Read' and action of retrieving a single record by identifier are characteristic of data retrieval with no side effects.
Attacks that exploit this kind of access
The rule that runs dataverse_read_record safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dataverse MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dataverse_read_record, this is the rule to start with:
dataverse_read_record 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 Dataverse MCP Server, apply this rule, and every dataverse_read_record call is checked against it from then on.
Questions about dataverse_read_record
Read a single record from a Dataverse table by ID. 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 dataverse_read_record: 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.
dataverse_read_record 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 dataverse_read_record 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 dataverse_read_record. 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.
dataverse_read_record is provided by the Dataverse MCP Server MCP server (ajscheuer/dataverse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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