Run multiple commands in ONE call. Every command
AI agents invoke ctx_batch_execute to trigger actions in Context Mode. 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.
This tool executes code/commands (matching Execute category). The batch execution of multiple commands in one call amplifies risk—a single misconfigured or malicious prompt could trigger numerous unintended operations. Severity is high due to broad potential blast radius across multiple command invocations, though sandbox and authentication constraints may mitigate some risk.
From the tool's definition Tool name 'ctx_batch_execute' and description 'Run multiple commands in ONE call' indicate execution of arbitrary commands.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access ctx_batch_execute gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Context Mode, and nothing reaches the server without passing your rules. This is the rule we recommend for ctx_batch_execute:
{
"version": "1",
"default": "deny",
"tools": {
"ctx_batch_execute": {
"limits": [
{
"counter": "ctx_batch_execute_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ctx_batch_execute stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Run multiple commands in ONE call. Every command. It is categorised as a Execute tool in the Context Mode MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Context Mode MCP server in PolicyLayer and add a rule for ctx_batch_execute: 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 Context Mode. Nothing to install.
ctx_batch_execute 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 ctx_batch_execute 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 ctx_batch_execute. 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.
ctx_batch_execute is provided by the Context Mode MCP server (mksglu/context-mode). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Context Mode, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Context Mode tools catalogued and risk-classified — across an index of 43,000+ MCP servers.