Get quality metrics from a DeepSource project with optional filtering
AI agents call quality_metrics to retrieve information from DeepSource MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries code quality metrics from a DeepSource project. The verb 'Get' combined with the filtering capability indicates a read-only data retrieval operation. There are no side effects, modifications to data, code execution, or destructive actions. The primary purpose is to provide insights into existing quality metrics, making this a straightforward Read category tool with low security risk.
From the tool's definition Tool description states 'Get quality metrics' - a retrieval operation with 'optional filtering' indicating querying/viewing data without modification.
Documented attack patterns abuse exactly the kind of access quality_metrics gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DeepSource MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for quality_metrics:
{
"version": "1",
"default": "deny",
"tools": {
"quality_metrics": {}
}
} quality_metrics is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get quality metrics from a DeepSource project with optional filtering. It is categorised as a Read tool in the DeepSource MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DeepSource MCP Server MCP server in PolicyLayer and add a rule for quality_metrics: 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 DeepSource MCP Server. Nothing to install.
quality_metrics is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the quality_metrics 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 quality_metrics. 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.
quality_metrics is provided by the DeepSource MCP Server MCP server (sapientpants/deepsource-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DeepSource 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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11 DeepSource MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.