This record as markdown: /tools/io-github-kivanccakmak-yaver/gradle-build.md
What gradle_build does on Yaver
AI agents invoke gradle_build to trigger actions in Yaver. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
task | string | — | Gradle task (default: assembleDebug) |
directory | string | — |
Parameters from the server's own tool schema.
Why gradle_build is rated High
Gradle build tasks execute arbitrary build logic and can invoke shell commands, download dependencies, run custom scripts, and trigger side effects beyond simple compilation. The tool's capability to 'run' a build task makes it an Execute category risk. Severity is high because misuse could compromise the build pipeline, inject malicious code during compilation, or trigger unintended deployments.
From the tool's definition Tool description states 'Run a Gradle build task', which is direct code execution in a build system that can trigger arbitrary scripts, compilations, and potentially invoke external processes or system commands during the build lifecycle.
Risk signalsAccepts file system path (directory)
Attacks that exploit this kind of access
The rule that runs gradle_build safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Yaver, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gradle_build, this is the rule to start with:
gradle_build 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 Yaver, apply this rule, and every gradle_build call is checked against it from then on.
Questions about gradle_build
Run a Gradle build task. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
gradle_build accepts 2 parameters: task, directory. The full parameter table on this page comes from the server's own tool schema.
Register the Yaver 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 Yaver. 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 Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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