This record as markdown: /tools/io-github-dave-london-git/coverage.md
What coverage does on Git
AI agents invoke coverage to trigger actions in Git. 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 coverage is rated High
The tool runs tests (code execution) and collects coverage data. This constitutes executing code/commands on the host system. Misuse could trigger unintended side effects from the test suite itself, consume significant resources, or expose sensitive information in test output. It is more than a Read because it actively runs processes, placing it in Execute.
From the tool's definition 'Runs tests with coverage' — the tool actively executes a test suite with coverage instrumentation
Attacks that exploit this kind of access
The rule that runs coverage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Git, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For coverage, this is the rule to start with:
coverage 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 Git, apply this rule, and every coverage call is checked against it from then on.
Questions about coverage
Runs tests with coverage and returns structured coverage summary per file. It is categorised as a Execute tool in the Git MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Git MCP server in PolicyLayer and add a rule for coverage: 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 Git. Nothing to install.
coverage 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 coverage 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 coverage. 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.
coverage is provided by the Git MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Git, and thousands of servers like it.
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