Find all missing or unscored assignments across every course. Returns them sorted by impact (point value) so the student knows which missing work hurts their grade the most.
AI agents call get_missing_assignments to retrieve information from School MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries school data (StudentVue dashboard) and presents information to help students understand their academic status. It has no side effects: it does not create assignments, modify grades, delete records, execute code, or trigger external actions. The worst-case misuse by an AI agent would be information gathering about a student's academic standing, which is a low-blast-radius outcome.
From the tool's definition Tool returns/retrieves data about missing assignments without modifying, deleting, or executing any operations. Description uses passive language: 'Find all missing or unscored assignments', 'Returns them sorted' — indicating data retrieval only.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Find all missing or unscored assignments across every course. Returns them sorted by impact (point value) so the student knows which missing work hurts their grade the most. It is categorised as a Read tool in the School MCP MCP Server, which means it retrieves data without modifying state.
Register the School MCP server in PolicyLayer and add a rule for get_missing_assignments: 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 School MCP. Nothing to install.
get_missing_assignments 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_missing_assignments 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_missing_assignments. 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_missing_assignments is provided by the School MCP server (shengdynasty/school-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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