reportTardy
use this tool to mark a specific student tardy for a given date
This record as markdown: /tools/firebase-genkit/reporttardy.md
What reportTardy does on Genkit MCP
AI agents use reportTardy to create or update resources in Genkit MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Genkit MCP environment.
Why reportTardy is rated Medium
This tool writes/updates student attendance data by marking a student as tardy for a specific date. It is a reversible modification to a record (the tardy status could be removed), placing it in the Write category. Misuse could affect student academic records, giving it medium severity.
From the tool's definition 'mark a specific student tardy for a given date' — creates or modifies a student attendance record
Attacks that exploit this kind of access
The rule that runs reportTardy safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Genkit MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For reportTardy, this is the rule to start with:
reportTardy 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Genkit MCP, apply this rule, and every reportTardy call is checked against it from then on.
Questions about reportTardy
use this tool to mark a specific student tardy for a given date. It is categorised as a Write tool in the Genkit MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Genkit MCP server in PolicyLayer and add a rule for reportTardy: 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 Genkit MCP. Nothing to install.
reportTardy 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 reportTardy 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 reportTardy. 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.
reportTardy is provided by the Genkit MCP server (genkit-ai/genkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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