AI agents use set_secret to create or update resources in Turbo Quant Memory MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Turbo Quant Memory MCP Server environment.
Classified as Write rather than Destructive because 'set' implies reversible creation/modification of secrets, not irreversible deletion. Severity is medium because misuse could expose or overwrite sensitive credentials, but the blast radius depends on what secrets are stored and how they're used.
From the tool's definition Tool name 'set_secret' with 'set' verb indicates data modification. Sibling tool 'delete_secret' and 'get_secret' confirm this is a secrets management system. The tool creates or modifies secret data within persistent storage.
Documented attack patterns abuse exactly the kind of access set_secret gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Turbo Quant Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for set_secret:
{
"version": "1",
"default": "deny",
"tools": {
"set_secret": {
"limits": [
{
"counter": "set_secret_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}set_secret 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.
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set_secret. It is categorised as a Write tool in the Turbo Quant Memory MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Turbo Quant Memory MCP Server MCP server in PolicyLayer and add a rule for set_secret: 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 Turbo Quant Memory MCP Server. Nothing to install.
set_secret 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 set_secret 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 set_secret. 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.
set_secret is provided by the Turbo Quant Memory MCP Server MCP server (lexus2016/turbo_quant_memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Turbo Quant Memory MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Turbo Quant Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.