update_test_result
[test management] 更新测试结果
This record as markdown: /tools/alibabacloud-devops/update-test-result.md
What update_test_result does on Alibabacloud Devops
AI agents use update_test_result to create or update resources in Alibabacloud Devops, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Alibabacloud Devops environment.
Why update_test_result is rated Medium
This tool modifies test result records in a development/testing system. It is reversible (results can be updated again or reverted), so it falls under Write rather than Destructive.
From the tool's definition Tool name 'update_test_result' and description '[test management] 更新测试结果' (Chinese: 'update test result'). The verb 'update' indicates modification of existing test result data.
Attacks that exploit this kind of access
The rule that runs update_test_result safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Alibabacloud Devops, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_test_result, this is the rule to start with:
update_test_result 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Alibabacloud Devops, apply this rule, and every update_test_result call is checked against it from then on.
Questions about update_test_result
[test management] 更新测试结果. It is categorised as a Write tool in the Alibabacloud Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Alibabacloud Devops MCP server in PolicyLayer and add a rule for update_test_result: 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 Alibabacloud Devops. Nothing to install.
update_test_result 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 update_test_result 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 update_test_result. 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.
update_test_result is provided by the Alibabacloud Devops MCP server (alibabacloud-devops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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