hesapla_otopark
AI agents call hesapla_otopark 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.
Given the server's purpose (Turkish building regulations and construction calculations) and the sibling tools that appear to be read-only calculation and lookup operations, this tool most likely performs a calculation or lookup (Read category). However, confidence is moderate because the description is empty, leaving some ambiguity about whether it might perform writes to a database or modify planning documents.
From the tool's definition Tool name 'hesapla_otopark' translates to 'calculate_parking' in Turkish, and the sibling tools on this server (hesapla_ceza=calculate_penalty, hesapla_maliyet=calculate_cost, hesapla_taks=calculate_installment) are all calculation/query tools.
Attacks that exploit this kind of access
hesapla_otopark. It is categorised as a Read tool in the mimari-ai MCP Server MCP Server, which means it retrieves data without modifying state.
Register the mimari-ai MCP Server MCP server in PolicyLayer and add a rule for hesapla_otopark: 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.
hesapla_otopark 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 hesapla_otopark 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 hesapla_otopark. 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.
hesapla_otopark 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →