AI agents call get_opentelemetry_examples to retrieve information from Otel Instrumentation without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves example code or documentation from the OpenTelemetry ecosystem. It performs a read-only query operation with no ability to modify, delete, execute code, or affect external systems. The blast radius of misuse is minimal—an AI could at worst retrieve irrelevant or misleading examples, but cannot cause harm through this tool alone.
From the tool's definition Tool name 'get_opentelemetry_examples' and description 'Get OpenTelemetry examples' indicate a retrieval operation. The sibling tools use explicit 'get_' and 'list_' verbs for read operations, and 'search_' for queries.
Documented attack patterns abuse exactly the kind of access get_opentelemetry_examples gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Otel Instrumentation, and nothing reaches the server without passing your rules. This is the rule we recommend for get_opentelemetry_examples:
{
"version": "1",
"default": "deny",
"tools": {
"get_opentelemetry_examples": {}
}
}get_opentelemetry_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 OpenTelemetry examples. It is categorised as a Read tool in the Otel Instrumentation MCP Server, which means it retrieves data without modifying state.
Register the Otel Instrumentation MCP server in PolicyLayer and add a rule for get_opentelemetry_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 Otel Instrumentation. Nothing to install.
get_opentelemetry_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_opentelemetry_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_opentelemetry_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_opentelemetry_examples is provided by the Otel Instrumentation MCP server (liatrio-labs/otel-instrumentation-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Otel Instrumentation, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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9 Otel Instrumentation tools catalogued and risk-classified — across an index of 43,000+ MCP servers.