AI agents call get_ilan_ad_detail to retrieve information from İhale MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves data from the ilan.gov.tr public procurement advertisement database. It has no capacity to modify, delete, execute code, or trigger external operations. The blast radius of misuse is minimal - an agent could only retrieve information that is already publicly available through the Turkish procurement portal.
From the tool's definition Tool performs 'Get detailed information for a specific advertisement' - a retrieval operation with no modification or execution of commands.
Attacks that exploit this kind of access
Get detailed information for a specific advertisement from ilan.gov.tr. It is categorised as a Read tool in the İhale MCP MCP Server, which means it retrieves data without modifying state.
Register the İhale MCP server in PolicyLayer and add a rule for get_ilan_ad_detail: 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 İhale MCP. Nothing to install.
get_ilan_ad_detail 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 get_ilan_ad_detail 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 get_ilan_ad_detail. 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.
get_ilan_ad_detail is provided by the İhale MCP server (saidsurucu/ihale-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.
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