test_regex
A execute tool on the GadgetHumans API Hub MCP server.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/test-regex.md
What test_regex does on GadgetHumans API Hub
AI agents invoke test_regex to trigger actions in GadgetHumans API Hub. 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 test_regex is rated High
A 'test_regex' tool most likely executes a regular expression pattern against input text. Regex execution can have side effects such as catastrophic backtracking (ReDoS) if an agent supplies a malicious pattern, which qualifies as Execute rather than a simple Read. However, the empty description significantly lowers confidence; it could also be a benign read-only match check.
From the tool's definition Tool name 'test_regex' — description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs test_regex safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For test_regex, this is the rule to start with:
test_regex 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 GadgetHumans API Hub, apply this rule, and every test_regex call is checked against it from then on.
Questions about test_regex
test_regex is a execute tool on the GadgetHumans API Hub MCP server. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for test_regex: 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 GadgetHumans API Hub. Nothing to install.
test_regex 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 test_regex 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 test_regex. 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.
test_regex is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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