AI agents use update_post to create or update resources in Featurebase MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Featurebase MCP Server environment.
This tool modifies existing feedback posts reversibly. While update operations are generally Write-category tools, the severity is elevated to 'high' because: (1) it operates on customer feedback data that may influence product decisions, (2) an AI agent could modify posts to misrepresent customer sentiment or feedback, and (3) the blast radius includes potential reputational and business logic impacts.
From the tool's definition Tool name 'update_post' and description 'Update an existing post' indicate modification of existing data. Context shows this is part of a feedback management system where posts represent customer feedback and feature requests.
Documented attack patterns abuse exactly the kind of access update_post gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Featurebase MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_post:
{
"version": "1",
"default": "deny",
"tools": {
"update_post": {
"limits": [
{
"counter": "update_post_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_post 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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Update an existing post. It is categorised as a Write tool in the Featurebase MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Featurebase MCP Server MCP server in PolicyLayer and add a rule for update_post: 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 Featurebase MCP Server. Nothing to install.
update_post 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 update_post 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 update_post. 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.
update_post is provided by the Featurebase MCP Server MCP server (marcinwyszynski/featurebase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Featurebase 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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12 Featurebase MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.