AI agents call recent_shows to retrieve information from Mcp Phish without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about recent Phish concert shows from the phish.net/phish.in APIs. It performs no modifications, deletions, or external operations—only reads and returns existing data. This is a straightforward Read category tool with low severity due to its purely informational purpose.
From the tool's definition Tool is named 'recent_shows' and described as 'List the most recent Phish shows.' The verb 'list' and the retrieval-only nature indicate pure data retrieval with no side effects.
Attacks that exploit this kind of access
List the most recent Phish shows. It is categorised as a Read tool in the Mcp Phish MCP Server, which means it retrieves data without modifying state.
Register the Mcp Phish MCP server in PolicyLayer and add a rule for recent_shows: 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 Mcp Phish. Nothing to install.
recent_shows 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 recent_shows 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 recent_shows. 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.
recent_shows is provided by the Mcp Phish MCP server (pete-builds/mcp-phish). 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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