Low Risk

report_memory

Report a public memory for inappropriate content. WHEN TO USE: - User encounters spam, misleading, or inappropriate public content - User wants to flag content that contains personal information REASONS: spam, inappropriate, misleading, personal_info, other After 3 reports, a memory is automat...

Admin/system-level operation

Part of the Pūrmemo MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

purmemo/purmemo-mcp Read Risk 2/5

AI agents call report_memory to retrieve information from Pūrmemo 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 report_memory 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.

purmemo-purmemo-mcp.yaml
tools:
  report_memory:
    rules:
      - action: allow

See the full Pūrmemo policy for all 11 tools.

Tool Name report_memory
Category Read
MCP Server Pūrmemo MCP Server
Risk Level Low

View all 11 tools →

Agents calling read-class tools like report_memory have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the report_memory tool do? +

Report a public memory for inappropriate content. WHEN TO USE: - User encounters spam, misleading, or inappropriate public content - User wants to flag content that contains personal information REASONS: spam, inappropriate, misleading, personal_info, other After 3 reports, a memory is automatically hidden from public view pending admin review. EXAMPLE: report_memory({ memory_id: "abc-123", reason: "spam", description: "Promotional content" }). It is categorised as a Read tool in the Pūrmemo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on report_memory? +

Add a rule in your Intercept YAML policy under the tools section for report_memory. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Pūrmemo MCP server.

What risk level is report_memory? +

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

Can I rate-limit report_memory? +

Yes. Add a rate_limit block to the report_memory rule in your Intercept 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 report_memory completely? +

Set action: deny in the Intercept policy for report_memory. 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 report_memory? +

report_memory is provided by the Pūrmemo MCP server (purmemo/purmemo-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Pūrmemo

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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