Manage user preferences for documentation generation and SSG recommendations
AI agents use manage_preferences to create or update resources in Documcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Documcp environment.
This tool modifies user configuration/preference settings, which is a reversible Write operation. It does not read-only (no Read), does not execute arbitrary code (no Execute), does not delete data irreversibly (no Destructive), and does not move money (no Financial). The blast radius is low because preference changes are typically non-critical, localized to the user's settings, and easily reverted.
From the tool's definition Tool name 'manage_preferences' and description 'Manage user preferences for documentation generation and SSG recommendations' indicates creation or modification of preference data.
Documented attack patterns abuse exactly the kind of access manage_preferences gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for manage_preferences:
{
"version": "1",
"default": "deny",
"tools": {
"manage_preferences": {
"limits": [
{
"counter": "manage_preferences_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} manage_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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Manage user preferences for documentation generation and SSG recommendations. It is categorised as a Write tool in the Documcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docu MCP server in PolicyLayer and add a rule for manage_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 Documcp. Nothing to install.
manage_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 manage_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 manage_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.
manage_preferences is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 Documcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.