Get all notes that have a specific tag. Provide either tag_id or tag_name. Optionally sort results.
Part of the Pypi:joplin server.
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AI agents call get_notes_by_tag to retrieve information from Pypi:joplin without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_notes_by_tag only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_notes_by_tag": {}
}
}See the full Pypi:joplin policy for all 32 tools.
These attack patterns abuse exactly the kind of access get_notes_by_tag gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Get all notes that have a specific tag. Provide either tag_id or tag_name. Optionally sort results.. It is categorised as a Read tool in the Pypi:joplin MCP Server, which means it retrieves data without modifying state.
Register the Pypi:joplin MCP server in PolicyLayer and add a rule for get_notes_by_tag: 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 Pypi:joplin. Nothing to install.
get_notes_by_tag 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 get_notes_by_tag 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 get_notes_by_tag. 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.
get_notes_by_tag is provided by the Pypi:joplin MCP server (pypi:joplin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 Pypi:joplin tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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