AI agents invoke gradle-build to trigger actions in Go. 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.
Gradle build execution can run arbitrary code through build scripts, tasks, and plugins. While the description is incomplete ('Runs' with no object), gradle-build is a well-known tool that executes external operations with effects determined by build configuration arguments.
From the tool's definition Tool name 'gradle-build' combined with description 'Runs' indicates execution of a build process. Gradle is a build automation tool that compiles code, runs tests, and executes arbitrary tasks defined in build scripts.
Attacks that exploit this kind of access
Runs. It is categorised as a Execute tool in the Go MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Go MCP server in PolicyLayer and add a rule for gradle-build: 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 Go. Nothing to install.
gradle-build 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 gradle-build 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 gradle-build. 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.
gradle-build is provided by the Go MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.