AI agents use index_content to create or update resources in ContextCore — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ContextCore environment.
Based on the server's purpose of indexing local files and the tool name, this tool likely creates or updates an index of file content. Indexing is a Write operation (creates/modifies index data) that is reversible. Severity is medium as it could index sensitive local files. Confidence is low due to empty description.
From the tool's definition Tool name 'index_content' on a server that 'indexes all your local files'; description is empty.
Documented attack patterns abuse exactly the kind of access index_content gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ContextCore, and nothing reaches the server without passing your rules. This is the rule we recommend for index_content:
{
"version": "1",
"default": "deny",
"tools": {
"index_content": {
"limits": [
{
"counter": "index_content_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}index_content 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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index_content. It is categorised as a Write tool in the ContextCore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ContextCore MCP server in PolicyLayer and add a rule for index_content: 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 ContextCore. Nothing to install.
index_content 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 index_content 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 index_content. 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.
index_content is provided by the ContextCore MCP server (lucifer-ux/contextcore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ContextCore, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 ContextCore tools catalogued and risk-classified — across an index of 43,000+ MCP servers.