指定したプロジェクトのテストケース一覧を取得します
AI agents call get_test_cases 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 queries and retrieves existing test case data from a Qase project without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal risk—misuse would only expose test case information within the user's authorized scope.
From the tool's definition Tool name 'get_test_cases' and description 'retrieve test case list for a specified project' indicate a retrieval operation with no data modification or side effects.
Attacks that exploit this kind of access
指定したプロジェクトのテストケース一覧を取得します. 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_test_cases: 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_test_cases 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_test_cases 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_test_cases. 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_test_cases is provided by the Qase MCP Server MCP server (rayyokoyama/qase-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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