get_notes

get_notes

Server MCP AI Research Assistant paneri11/mcp-ai-research-assistant
Category Read
Risk class Low
Parameters 00 required

What get_notes does on MCP AI Research Assistant

AI agents call get_notes to retrieve information from MCP AI Research Assistant without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_notes needs a policy

This tool retrieves or queries stored notes with no apparent side effects. It falls squarely within the Read category. Severity is low because retrieving notes poses minimal risk—no data is modified, deleted, or executed. The confidence is high (0.9) despite the empty description, as the tool name itself is sufficiently informative and the context of a research assistant supports this classification.

From the tool's definition Tool name is 'get_notes', which indicates retrieval of previously stored notes. The sibling tools include 'save_note' and 'summarize_text', consistent with a note-taking research assistant.

Questions about get_notes

What does the get_notes tool do? +

get_notes. It is categorised as a Read tool in the MCP AI Research Assistant MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_notes? +

Register the MCP AI Research Assistant MCP server in PolicyLayer and add a rule for get_notes: 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 MCP AI Research Assistant. Nothing to install.

What risk level is get_notes? +

get_notes is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_notes? +

Yes. Add a rate_limit block to the get_notes 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 get_notes completely? +

Set action: deny in the PolicyLayer policy for get_notes. 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 get_notes? +

get_notes is provided by the MCP AI Research Assistant MCP server (paneri11/mcp-ai-research-assistant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.