Obtiene los pendientes sin entregar.
AI agents call todo to retrieve information from Canvas MCP Server 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 information about pending academic work. It performs a read-only operation on the Canvas LMS system with no side effects, data modification, or external execution. The risk is minimal as it only surfaces existing data to help users track their obligations.
From the tool's definition Tool name is 'todo' and description states 'Obtiene los pendientes sin entregar' (Gets pending/undelivered items). This retrieves a list of outstanding assignments or tasks without modifying data.
Attacks that exploit this kind of access
Obtiene los pendientes sin entregar. It is categorised as a Read tool in the Canvas MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Canvas MCP Server MCP server in PolicyLayer and add a rule for todo: 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 Canvas MCP Server. Nothing to install.
todo 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 todo 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 todo. 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.
todo is provided by the Canvas MCP Server MCP server (the-greenpanter/canvas-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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