AI agents use mess_update_preferences to create or update resources in IIITH Mess MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your IIITH Mess MCP environment.
The tool name strongly suggests updating (modifying) user preferences within a meal management system. This is a reversible modification (Write category), not destructive deletion. Severity is medium because preference changes affect account configuration and billing, but are typically reversible.
From the tool's definition Tool name 'mess_update_preferences' indicates modification of user preferences; sibling tools like 'mess_create_registration', 'mess_delete_monthly_registration', and 'mess_cancel_registration' confirm this server performs Write and Destructive operations on…
Documented attack patterns abuse exactly the kind of access mess_update_preferences gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and IIITH Mess MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for mess_update_preferences:
{
"version": "1",
"default": "deny",
"tools": {
"mess_update_preferences": {
"limits": [
{
"counter": "mess_update_preferences_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} mess_update_preferences 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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mess_update_preferences. It is categorised as a Write tool in the IIITH Mess MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the IIITH Mess MCP server in PolicyLayer and add a rule for mess_update_preferences: 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 IIITH Mess MCP. Nothing to install.
mess_update_preferences 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 mess_update_preferences 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 mess_update_preferences. 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.
mess_update_preferences is provided by the IIITH Mess MCP server (kallind/iiith-mess-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from IIITH Mess MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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45 IIITH Mess MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.