AI agents use update_embeddings to create or update resources in MCP Code Analysis Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Code Analysis Server environment.
This tool creates or modifies embeddings—a computed representation of code—reversibly. It does not delete data, execute arbitrary code, move funds, or trigger external operations beyond recalculating and storing embeddings. While it modifies state, the operation is reversible (embeddings can be regenerated).
From the tool's definition Tool name 'update_embeddings' and description 'Update embeddings for a repository' indicate modification of embedded data structures. The term 'update' is a write operation that modifies existing state (embeddings) within the repository's analysis index.
Documented attack patterns abuse exactly the kind of access update_embeddings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Code Analysis Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_embeddings:
{
"version": "1",
"default": "deny",
"tools": {
"update_embeddings": {
"limits": [
{
"counter": "update_embeddings_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_embeddings 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 embeddings for a repository. It is categorised as a Write tool in the MCP Code Analysis Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for update_embeddings: 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 MCP Code Analysis Server. Nothing to install.
update_embeddings 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_embeddings 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_embeddings. 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_embeddings is provided by the MCP Code Analysis Server MCP server (johannhartmann/mcpcodeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Code Analysis Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.