coverage
Runs tests with coverage and returns structured coverage summary per file.
This record as markdown: /tools/io-github-dave-london-pare-test/coverage.md
What coverage does on Test
AI agents invoke coverage 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 coverage is rated High
The tool runs tests (executes code) with coverage analysis. This triggers arbitrary code execution in the project's test suite, which could have significant side effects depending on what the tests do. It fits the Execute category as it runs external operations (test runner + coverage tool) whose effects depend on the project's test code.
From the tool's definition 'Runs tests with coverage' — actively executes the test suite and 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 Test, 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 Test, 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 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 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 Test. 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 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.
More on Test, and thousands of servers like it.
This server
Across the catalogue