This record as markdown: /tools/todos/list-saved-views.md
What list_saved_views does on Todos
AI agents call list_saved_views to retrieve information from Todos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_saved_views is rated Low
This tool performs a retrieval operation with no side effects. It queries and returns a list of saved search views, fitting the Read category definition. The low severity reflects minimal blast radius—an AI agent misusing this could only access metadata about saved views, not modify tasks, delete data, or trigger operations.
From the tool's definition Tool name 'list_saved_views' and description 'List saved search views' indicate a read-only query operation that retrieves and displays existing saved views without modifying, executing, or deleting any data.
Attacks that exploit this kind of access
The rule that runs list_saved_views safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_saved_views, this is the rule to start with:
list_saved_views is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Todos, apply this rule, and every list_saved_views call is checked against it from then on.
Questions about list_saved_views
List saved search views. It is categorised as a Read tool in the Todos MCP Server, which means it retrieves data without modifying state.
Register the Todos MCP server in PolicyLayer and add a rule for list_saved_views: 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 Todos. Nothing to install.
list_saved_views 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 list_saved_views 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 list_saved_views. 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.
list_saved_views is provided by the Todos MCP server (@hasna/todos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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