OBS'den (öğrenci) profil bilgilerini alır.
AI agents call student_profile to retrieve information from Isparta Uni OBS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves student profile information from the OBS system. 'Alır' in Turkish means 'gets/retrieves', indicating a read-only operation. While it accesses personal academic data (moderate sensitivity), it only reads and does not modify anything, keeping severity low.
From the tool's definition 'profil bilgilerini alır' means 'retrieves profile information' — a read/fetch operation with no side effects
Attacks that exploit this kind of access
OBS'den (öğrenci) profil bilgilerini alır. It is categorised as a Read tool in the Isparta Uni OBS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Isparta Uni OBS MCP Server MCP server in PolicyLayer and add a rule for student_profile: 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 Isparta Uni OBS MCP Server. Nothing to install.
student_profile 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 student_profile 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 student_profile. 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.
student_profile is provided by the Isparta Uni OBS MCP Server MCP server (umutckem/isparta-uni-obs-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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