Add a new note
AI agents use add-note to create or update resources in Swiss Meteo MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Swiss Meteo MCP environment.
This tool creates or modifies data (notes) in a reversible manner—notes can be edited or deleted later. It does not execute arbitrary code, delete data irreversibly, or move money. Write category is appropriate.
From the tool's definition Tool is named 'add-note' and described as 'Add a new note', indicating it creates new data in a note-taking system. The sibling tool 'delete-all-notes' confirms this server manages persistent note storage.
Attacks that exploit this kind of access
Add a new note. It is categorised as a Write tool in the Swiss Meteo MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Swiss Meteo MCP server in PolicyLayer and add a rule for add-note: 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 Swiss Meteo MCP. Nothing to install.
add-note 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 add-note 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 add-note. 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.
add-note is provided by the Swiss Meteo MCP server (lorenzwalthert/swiss_meteo_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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