AI agents use qd_add_filter_clause to create or update resources in QuantData MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your QuantData MCP Server environment.
The 'add' prefix and context of filter management suggests this tool creates or modifies filter clauses within the QuantData system, making it a Write operation. Severity is medium because filter modifications affect data queries and analysis but are reversible (filters can be removed or edited).
From the tool's definition Tool name 'qd_add_filter_clause' indicates creation or modification of filter configurations. Related sibling tools include 'qd_apply_filter_group', 'qd_create_page', and 'qd_delete_filter_group', establishing a pattern where 'add' and 'create' operations…
Documented attack patterns abuse exactly the kind of access qd_add_filter_clause gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantData MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for qd_add_filter_clause:
{
"version": "1",
"default": "deny",
"tools": {
"qd_add_filter_clause": {
"limits": [
{
"counter": "qd_add_filter_clause_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} qd_add_filter_clause 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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qd_add_filter_clause. It is categorised as a Write tool in the QuantData MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the QuantData MCP Server MCP server in PolicyLayer and add a rule for qd_add_filter_clause: 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 QuantData MCP Server. Nothing to install.
qd_add_filter_clause 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 qd_add_filter_clause 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 qd_add_filter_clause. 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.
qd_add_filter_clause is provided by the QuantData MCP Server MCP server (zzulanas/quantdata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from QuantData 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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50 QuantData MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.