dataverse_update_record
Update an existing record in a Dataverse table
This record as markdown: /tools/ajscheuer-dataverse-mcp/dataverse-update-record.md
What dataverse_update_record does on Dataverse MCP Server
AI agents use dataverse_update_record to create or update resources in Dataverse MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataverse MCP Server environment.
Why dataverse_update_record is rated Medium
The tool modifies existing data reversibly (updates rather than deletes), which places it in the Write category. Severity is medium rather than high because updates are reversible and do not permanently destroy data. This is less severe than Destructive actions but more impactful than Read operations. Confidence is high based on clear language in both name and description.
From the tool's definition Tool name 'dataverse_update_record' and description 'Update an existing record in a Dataverse table' indicate modification of data.
Attacks that exploit this kind of access
The rule that runs dataverse_update_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_update_record, this is the rule to start with:
dataverse_update_record 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 Dataverse MCP Server, apply this rule, and every dataverse_update_record call is checked against it from then on.
Questions about dataverse_update_record
Update an existing record in a Dataverse table. It is categorised as a Write tool in the Dataverse MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dataverse MCP Server MCP server in PolicyLayer and add a rule for dataverse_update_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_update_record 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 dataverse_update_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_update_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_update_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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