AI agents call get_affiliations to retrieve information from Eduframe 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 affiliation data without side effects. It matches the Read category profile: a simple data fetch operation that does not create, modify, delete, or execute external operations. The low severity reflects minimal blast radius—retrieving affiliation records poses no risk of data loss or unintended system changes.
From the tool's definition Tool name 'get_affiliations' with description 'Get all affiliations' indicates a retrieval operation with no parameters for modification or deletion.
Attacks that exploit this kind of access
Get all affiliations. It is categorised as a Read tool in the Eduframe MCP Server, which means it retrieves data without modifying state.
Register the Eduframe MCP server in PolicyLayer and add a rule for get_affiliations: 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 Eduframe. Nothing to install.
get_affiliations 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_affiliations 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_affiliations. 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_affiliations is provided by the Eduframe MCP server (martijnpieters/eduframe-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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