List all watches with their current status.
AI agents call list_watches to retrieve information from Mcp Watched 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 existing watches without creating, modifying, deleting, or executing any operations. It is a straightforward data retrieval operation that fits the 'Read' category.
From the tool's definition Tool name 'list_watches' and description 'List all watches with their current status' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List all watches with their current status. It is categorised as a Read tool in the Mcp Watched MCP Server, which means it retrieves data without modifying state.
Register the Mcp Watched MCP server in PolicyLayer and add a rule for list_watches: 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 Watched. Nothing to install.
list_watches 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 list_watches 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 list_watches. 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.
list_watches is provided by the Mcp Watched MCP server (ng-pr0ject/mcp-watched). 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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