Execute multiple Magector tool calls in a single request to reduce MCP round-trip overhead. Each query runs in parallel and returns combined results. Use this when you need 2+ independent lookups (e.g., find a class AND its plugins AND its observers in one call instead of three). Supported tools:...
AI agents invoke magento_batch to trigger actions in Magector. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Although individual sibling tools like magento_search, magento_find_class appear to be Read operations (semantic code search and analysis), this tool orchestrates the execution of multiple such operations. Execution of code analysis queries, especially in parallel batches on a code base, constitutes an Execute operation.
From the tool's definition Tool description states it 'Execute[s] multiple Magector tool calls in a single request' and allows the user to invoke multiple underlying tools like magento_search, magento_find_class, magento_find_method, magento_find_plugin, magento_find_observer,…
Attacks that exploit this kind of access
Execute multiple Magector tool calls in a single request to reduce MCP round-trip overhead. Each query runs in parallel and returns combined results. Use this when you need 2+ independent lookups (e.g., find a class AND its plugins AND its observers in one call instead of three). Supported tools: magento_search, magento_find_class, magento_find_method, magento_find_plugin, magento_find_observer, magento_find_config, magento_find_event_flow, magento_find_di_wiring, magento_find_callers, magento_find_preference, magento_find_fieldset, magento_module_structure, magento_trace_dependency, magento_impact_analysis, magento_grep, magento_read, magento_ast_search, magento_find_dataobject_issues, magento_find_null_risks. It is categorised as a Execute tool in the Magector MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Magector MCP server in PolicyLayer and add a rule for magento_batch: 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 Magector. Nothing to install.
magento_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the magento_batch 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 magento_batch. 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.
magento_batch is provided by the Magector MCP server (magector). 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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