This record as markdown: /tools/io-github-dearlordylord-huly-mcp/update-test-result.md
What update_test_result does on Huly
AI agents use update_test_result to create or update resources in Huly, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Huly environment.
Why update_test_result is rated Medium
This tool modifies existing test result data reversibly. It does not delete data (which would be Destructive), does not execute arbitrary code or commands (which would be Execute), and does not move money (which would be Financial). Update operations are characteristic of the Write category.
From the tool's definition Tool name contains 'update' and description states 'Update a test result', indicating modification of existing 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 Huly, 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 Huly, apply this rule, and every update_test_result call is checked against it from then on.
Questions about update_test_result
Update a test result. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Huly 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 Huly. 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 Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Huly, and thousands of servers like it.
This server
Across the catalogue