Dimensionality reduction for vector data (requires implementation)
AI agents call vector_dimension_reduce as a supporting operation in Postgres Mcp Legacy workflows.
The description explicitly states the tool 'requires implementation', meaning it has no actual behavior. If implemented, dimensionality reduction would likely be a Read/Execute operation (transforming vector data), but since it is unimplemented, it poses minimal real risk. Confidence is low due to the uninformative description and lack of actual functionality.
From the tool's definition 'requires implementation' indicates this tool is not yet functional; 'dimensionality reduction for vector data' suggests a data transformation/analysis operation
Documented attack patterns abuse exactly the kind of access vector_dimension_reduce gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres Mcp Legacy, and nothing reaches the server without passing your rules. This is the rule we recommend for vector_dimension_reduce:
{
"version": "1",
"default": "deny",
"tools": {
"vector_dimension_reduce": {
"limits": [
{
"counter": "vector_dimension_reduce_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}vector_dimension_reduce gets a rate cap, and everything else on the server is denied unless you say otherwise.
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Dimensionality reduction for vector data (requires implementation). It is categorised as a Other tool in the Postgres Mcp Legacy MCP Server, which means it performs auxiliary operations.
Register the Postgres Mcp Legacy MCP server in PolicyLayer and add a rule for vector_dimension_reduce: 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 Postgres Mcp Legacy. Nothing to install.
vector_dimension_reduce is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the vector_dimension_reduce 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 vector_dimension_reduce. 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.
vector_dimension_reduce is provided by the Postgres Mcp Legacy MCP server (neverinfamous/postgres-mcp-legacy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Postgres Mcp Legacy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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60 Postgres Mcp Legacy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.