mureo_batch_begin
Declare the start of a bulk change so it can be reviewed and
This record as markdown: /tools/logly-mureo/mureo-batch-begin.md
What mureo_batch_begin does on Mureo
AI agents use mureo_batch_begin to create or update resources in Mureo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mureo environment.
Why mureo_batch_begin is rated Medium
Initiates a bulk change workflow; reversible staging action before changes are committed.
From the tool's definition Declare the start of a bulk change so it can be reviewed
Attacks that exploit this kind of access
The rule that runs mureo_batch_begin safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mureo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mureo_batch_begin, this is the rule to start with:
mureo_batch_begin 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 Mureo, apply this rule, and every mureo_batch_begin call is checked against it from then on.
Questions about mureo_batch_begin
Declare the start of a bulk change so it can be reviewed and. It is categorised as a Write tool in the Mureo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mureo MCP server in PolicyLayer and add a rule for mureo_batch_begin: 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 Mureo. Nothing to install.
mureo_batch_begin 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 mureo_batch_begin 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 mureo_batch_begin. 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.
mureo_batch_begin is provided by the Mureo MCP server (logly/mureo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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