AI agents call get_runs to retrieve information from QASE 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 test run data from the Qase platform without any side effects. It queries and returns information only, matching the Read category definition of retrieving or querying data with no side effects.
From the tool's definition Tool name 'get_runs' and description 'Get all test runs in a project' indicate data retrieval with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access get_runs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QASE MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_runs:
{
"version": "1",
"default": "deny",
"tools": {
"get_runs": {}
}
} get_runs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all test runs in a project. It is categorised as a Read tool in the QASE MCP Server MCP Server, which means it retrieves data without modifying state.
Register the QASE MCP Server MCP server in PolicyLayer and add a rule for get_runs: 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 QASE MCP Server. Nothing to install.
get_runs 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 get_runs 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 get_runs. 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.
get_runs is provided by the QASE MCP Server MCP server (rikuson/mcp-qase). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from QASE 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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26 QASE MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.