hesapla_maliyet

hesapla_maliyet

Server mimari-ai MCP Server uzungridera/mimari-ai-mcp
Category Read
Risk class Low
Parameters 00 required

What hesapla_maliyet does on mimari-ai MCP Server

AI agents call hesapla_maliyet to retrieve information from mimari-ai MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why hesapla_maliyet needs a policy

Even though hesapla_maliyet only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about hesapla_maliyet

What does the hesapla_maliyet tool do? +

hesapla_maliyet. It is categorised as a Read tool in the mimari-ai MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on hesapla_maliyet? +

Register the mimari-ai MCP Server MCP server in PolicyLayer and add a rule for hesapla_maliyet: 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 mimari-ai MCP Server. Nothing to install.

What risk level is hesapla_maliyet? +

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

Can I rate-limit hesapla_maliyet? +

Yes. Add a rate_limit block to the hesapla_maliyet 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 hesapla_maliyet completely? +

Set action: deny in the PolicyLayer policy for hesapla_maliyet. 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 hesapla_maliyet? +

hesapla_maliyet is provided by the mimari-ai MCP Server MCP server (uzungridera/mimari-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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