This record as markdown: /tools/io-github-dearlordylord-huly-mcp/update-test-run.md
What update_test_run does on Huly
AI agents use update_test_run 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_run is rated Medium
The tool updates (modifies) a test run object, which is a reversible write operation. Without evidence of deletion, irreversibility, code execution, or financial impact, this falls under Write category. Severity is medium because modifying test run data could affect test reporting and CI/CD workflows, but the impact is typically scoped to a single test entity and is reversible.
From the tool's definition Tool name is 'update_test_run' and description states 'Update a test run', which modifies existing data in the Huly system.
Attacks that exploit this kind of access
The rule that runs update_test_run 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_run, this is the rule to start with:
update_test_run 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_run call is checked against it from then on.
Questions about update_test_run
Update a test run. 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_run: 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_run 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_run 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_run. 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_run 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.
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