サンプルを検索（例：
AI agents call search_samples to retrieve information from Ableton MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Sample searching is a read-only operation that retrieves data without modifying, creating, deleting, or executing any operations. It matches the Read category definition of retrieving or querying data with no side effects. Low severity because misuse would only result in incorrect sample retrieval, not unintended modifications or deletions.
From the tool's definition Tool name is 'search_samples' and description indicates it searches samples (サンプルを検索 = 'search samples' in Japanese). This is a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
サンプルを検索（例：. It is categorised as a Read tool in the Ableton MCP MCP Server, which means it retrieves data without modifying state.
Register the Ableton MCP server in PolicyLayer and add a rule for search_samples: 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 Ableton MCP. Nothing to install.
search_samples 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 search_samples 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 search_samples. 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.
search_samples is provided by the Ableton MCP server (keigotak/abletonmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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