run_saved_view

Execute a saved view by slug or id.

Server Todos @hasna/todos
Category Execute
Risk class High
Parameters 00 required

What run_saved_view does on Todos

AI agents invoke run_saved_view to trigger actions in Todos. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why run_saved_view needs a policy

The tool executes a saved view, which could retrieve or process data based on stored parameters. While 'saved view' typically suggests read-only query execution (similar to a SQL view), the use of 'Execute' in the description and 'run' in the name suggests active invocation of logic rather than simple retrieval.

From the tool's definition Tool name contains 'run' and description states 'Execute a saved view' - indicates execution of a predefined query or operation.

Questions about run_saved_view

What does the run_saved_view tool do? +

Execute a saved view by slug or id. It is categorised as a Execute tool in the Todos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_saved_view? +

Register the Todos MCP server in PolicyLayer and add a rule for run_saved_view: 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.

What risk level is run_saved_view? +

run_saved_view is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_saved_view? +

Yes. Add a rate_limit block to the run_saved_view 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.

How do I block run_saved_view completely? +

Set action: deny in the PolicyLayer policy for run_saved_view. 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.

What MCP server provides run_saved_view? +

run_saved_view 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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