Optimize API requests into efficient batches
Risk signalsBulk/mass operation — affects multiple targets
Part of the Api Request Deduplicator server.
Free to start. No card required.
AI agents call batch_optimizer to perform operations in Api Request Deduplicator. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.
Applying a policy to batch_optimizer gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.
Apply a rate limit to control usage and monitor for unexpected behaviour.
{
"version": "1",
"default": "deny",
"tools": {
"batch_optimizer": {
"limits": [
{
"counter": "batch_optimizer_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}See the full Api Request Deduplicator policy for all 4 tools.
These attack patterns abuse exactly the kind of access batch_optimizer gives an agent. Each links to the full case and the policy that stops it:
Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Optimize API requests into efficient batches. It is categorised as a Other tool in the Api Request Deduplicator MCP Server, which means it performs auxiliary operations.
Register the Api Request Deduplicator MCP server in PolicyLayer and add a rule for batch_optimizer: 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 Api Request Deduplicator. Nothing to install.
batch_optimizer is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the batch_optimizer 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 batch_optimizer. 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.
batch_optimizer is provided by the Api Request Deduplicator MCP server (https://api.lazy-mac.com/api-request-deduplicator/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 4 Api Request Deduplicator tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.