Get WAL examples customized for specific waveform signals
AI agents call get_wal_examples to retrieve information from Waveform MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves pre-built example WAL expressions for educational/reference purposes. It reads from examples (likely stored templates) and customizes them based on signal parameters, but does not execute arbitrary code, modify waveforms, or trigger external operations. The sibling tool 'execute_wal_expression' is the dangerous one; this one merely provides learning material.
From the tool's definition Tool name 'get_wal_examples' and description 'Get WAL examples customized for specific waveform signals' indicate data retrieval with no side effects. The purpose is to fetch and display example queries/code snippets relevant to signal analysis.
Documented attack patterns abuse exactly the kind of access get_wal_examples gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Waveform MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_wal_examples:
{
"version": "1",
"default": "deny",
"tools": {
"get_wal_examples": {}
}
}get_wal_examples is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get WAL examples customized for specific waveform signals. It is categorised as a Read tool in the Waveform MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Waveform MCP Server MCP server in PolicyLayer and add a rule for get_wal_examples: 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 Waveform MCP Server. Nothing to install.
get_wal_examples 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 get_wal_examples 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 get_wal_examples. 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.
get_wal_examples is provided by the Waveform MCP Server MCP server (ynivin/waveform-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Waveform MCP Server, 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.
6 Waveform MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.