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aimeat_app_get

A read tool on the AIMEAT MCP server.

SERVERAIMEAT SOURCEhttps://aimeat.io/v1/mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-aimeat-aimeat/aimeat-app-get.md

What aimeat_app_get does on AIMEAT

AI agents call aimeat_app_get to retrieve information from AIMEAT without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why aimeat_app_get is rated Low

Likely retrieves application data with minimal risk given the name pattern.

From the tool's definition uninformative description

Questions about aimeat_app_get

What does the aimeat_app_get tool do? +

aimeat_app_get is a read tool on the AIMEAT MCP server. It is categorised as a Read tool in the AIMEAT MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on aimeat_app_get? +

Register the AIMEAT MCP server in PolicyLayer and add a rule for aimeat_app_get: 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 AIMEAT. Nothing to install.

What risk level is aimeat_app_get? +

aimeat_app_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit aimeat_app_get? +

Yes. Add a rate_limit block to the aimeat_app_get 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.

How do I block aimeat_app_get completely? +

Set action: deny in the PolicyLayer policy for aimeat_app_get. 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.

What MCP server provides aimeat_app_get? +

aimeat_app_get is provided by the AIMEAT MCP server (https://aimeat.io/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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