the executeTests tool can trigger a set of tests for a given test target. The test target id is unique to the test target. The tests are executed on the provided url. The context object is used to provide information about the source of the test execution.
AI agents invoke executeTests to trigger actions in Octomind. 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.
This tool executes automated tests against a provided URL, which constitutes triggering external operations. The outcome and side effects depend entirely on what tests are executed and against which URL, making it an Execute category tool.
From the tool's definition executeTests tool 'can trigger a set of tests for a given test target' and 'tests are executed on the provided url' — this triggers external operations (test execution) whose effects depend on arguments (test target, URL, context).
Documented attack patterns abuse exactly the kind of access executeTests gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Octomind, and nothing reaches the server without passing your rules. This is the rule we recommend for executeTests:
{
"version": "1",
"default": "deny",
"tools": {
"executeTests": {
"limits": [
{
"counter": "executetests_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} executeTests 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.
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the executeTests tool can trigger a set of tests for a given test target. The test target id is unique to the test target. The tests are executed on the provided url. The context object is used to provide information about the source of the test execution. It is categorised as a Execute tool in the Octomind MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Octomind MCP server in PolicyLayer and add a rule for executeTests: 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 Octomind. Nothing to install.
executeTests 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 executeTests 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 executeTests. 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.
executeTests is provided by the Octomind MCP server (octomind-dev/octomind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Octomind, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
21 Octomind tools catalogued and risk-classified — across an index of 43,000+ MCP servers.