cherry-pick
Applies specific commits to the current branch. Returns structured data with applied commits, any conflicts, and new commit hash.
This record as markdown: /tools/io-github-dave-london-pare-test/cherry-pick.md
What cherry-pick does on Test
AI agents invoke cherry-pick to trigger actions in Test. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why cherry-pick is rated High
Cherry-pick replays commits onto the current branch, modifying git history and potentially introducing conflicts. This is an active git operation that triggers changes to repository state. It is not purely destructive (it doesn't delete), but it executes a git operation with significant side effects on branch state, making Execute the appropriate category.
From the tool's definition Applies specific commits to the current branch... new commit hash
Attacks that exploit this kind of access
The rule that runs cherry-pick safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Test, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cherry-pick, this is the rule to start with:
cherry-pick stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Test, apply this rule, and every cherry-pick call is checked against it from then on.
Questions about cherry-pick
Applies specific commits to the current branch. Returns structured data with applied commits, any conflicts, and new commit hash. It is categorised as a Execute tool in the Test MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Test MCP server in PolicyLayer and add a rule for cherry-pick: 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 Test. Nothing to install.
cherry-pick is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the cherry-pick 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 cherry-pick. 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.
cherry-pick is provided by the Test MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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