Download and parse internal university files (PDFs, Images) - resource.
AI agents call resolve_material_link to retrieve information from Ekursy Mcp Py without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool downloads and parses files from the university platform, which is a read/fetch operation with no side effects. Severity is medium because it accesses potentially sensitive internal documents (course materials, grades-related files), but it does not modify or delete any data.
From the tool's definition Download and parse internal university files (PDFs, Images) - resource
Attacks that exploit this kind of access
Download and parse internal university files (PDFs, Images) - resource. It is categorised as a Read tool in the Ekursy Mcp Py MCP Server, which means it retrieves data without modifying state.
Register the Ekursy Mcp Py MCP server in PolicyLayer and add a rule for resolve_material_link: 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 Ekursy Mcp Py. Nothing to install.
resolve_material_link 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 resolve_material_link 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 resolve_material_link. 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.
resolve_material_link is provided by the Ekursy Mcp Py MCP server (markrz-0/ekursy-mcp-server). 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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