wavexis_assert_url
Assert the current URL matches a pattern.
This record as markdown: /tools/wavexis-mcp/wavexis-assert-url.md
What wavexis_assert_url does on Pypi:wavexis
AI agents call wavexis_assert_url to retrieve information from Pypi:wavexis without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why wavexis_assert_url is rated Low
Asserting a URL is a passive read operation: it retrieves the current URL and compares it to a pattern. No data is written, executed, or destroyed. Misuse potential is minimal; the worst outcome is a failed assertion causing incorrect control flow in an automation script.
From the tool's definition 'Assert the current URL matches a pattern' — this is a read/validation operation that checks the current URL without modifying any state.
Attacks that exploit this kind of access
The rule that runs wavexis_assert_url safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:wavexis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wavexis_assert_url, this is the rule to start with:
wavexis_assert_url is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:wavexis, apply this rule, and every wavexis_assert_url call is checked against it from then on.
Questions about wavexis_assert_url
Assert the current URL matches a pattern. It is categorised as a Read tool in the Pypi:wavexis MCP Server, which means it retrieves data without modifying state.
Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_assert_url: 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 Pypi:wavexis. Nothing to install.
wavexis_assert_url is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the wavexis_assert_url 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 wavexis_assert_url. 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.
wavexis_assert_url is provided by the Pypi:wavexis MCP server (MathiasPaulenko/wavexis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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