Low Risk

timeline

Show the temporal neighborhood around a document — what was created/modified before and after it. Token-efficient progressive disclosure: search → timeline (context) → get (full content). Use after finding a document via search to understand what happened around it.

How to control timeline ↓

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

Low Risk

timeline retrieves and displays temporal metadata about documents (creation/modification timestamps and context) without modifying any data. It serves as a contextual read operation between search and full content retrieval. There are no write, execute, destructive, or financial implications.

From the tool's definition Tool description states it 'Show[s] the temporal neighborhood around a document — what was created/modified before and after it' and explicitly positions it in a read-focused workflow: 'search → timeline (context) → get (full content)'.

Documented attack patterns abuse exactly the kind of access timeline gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and ClawMem, and nothing reaches the server without passing your rules. This is the rule we recommend for timeline:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "timeline": {}
  }
}

timeline is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register ClawMem — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the timeline tool do? +

Show the temporal neighborhood around a document — what was created/modified before and after it. Token-efficient progressive disclosure: search → timeline (context) → get (full content). Use after finding a document via search to understand what happened around it. It is categorised as a Read tool in the ClawMem MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on timeline? +

Register the ClawMem MCP server in PolicyLayer and add a rule for timeline: 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 ClawMem. Nothing to install.

What risk level is timeline? +

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

Can I rate-limit timeline? +

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

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

timeline is provided by the ClawMem MCP server (yoloshii/clawmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ClawMem tool call.

Deterministic rules across all 30 ClawMem tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

30 ClawMem tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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