Add an education entry to your profile. Set type to
AI agents use add_education to create or update resources in Shortlist MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Shortlist MCP Server environment.
This tool creates a new education entry in the user's profile. It is a write operation (Create) as it adds data to a profile without deletion or financial impact. Severity is medium because misuse could result in false credentials being added to job applications, affecting hiring outcomes, but the action is reversible (evidenced by the sibling 'delete_education' tool).
From the tool's definition Tool name is 'add_education' and description states 'Add an education entry to your profile' — this creates or modifies profile data reversibly.
Documented attack patterns abuse exactly the kind of access add_education gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Shortlist MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for add_education:
{
"version": "1",
"default": "deny",
"tools": {
"add_education": {
"limits": [
{
"counter": "add_education_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} add_education stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Add an education entry to your profile. Set type to. It is categorised as a Write tool in the Shortlist MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Shortlist MCP Server MCP server in PolicyLayer and add a rule for add_education: 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 Shortlist MCP Server. Nothing to install.
add_education is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_education 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 add_education. 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.
add_education is provided by the Shortlist MCP Server MCP server (mls-tech-inc/shortlistjobs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Shortlist MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 Shortlist MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.