context_timeline

Reason over TIME using the memory

SERVERChitta SOURCE@100xprompt/chitta

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/100xprompt-chitta/context-timeline.md

WHAT IT DOES

What context_timeline does on Chitta

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

RISK

Why context_timeline is rated Low

This tool retrieves or reasons over time-based information from the memory system without modifying, deleting, or executing external operations. It is a read-only operation that queries existing memory data organized temporally.

From the tool's definition Tool name 'context_timeline' and description 'Reason over TIME using the memory' indicate a query/retrieval operation that accesses stored temporal data within the knowledge-graph and vector memory system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs context_timeline safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Chitta, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For context_timeline, this is the rule to start with:

context_timeline Allowed

context_timeline is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "context_timeline": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Chitta, apply this rule, and every context_timeline call is checked against it from then on.

FAQ

Questions about context_timeline

What does the context_timeline tool do? +

Reason over TIME using the memory. It is categorised as a Read tool in the Chitta MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on context_timeline? +

Register the Chitta MCP server in PolicyLayer and add a rule for context_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 Chitta. Nothing to install.

What risk level is context_timeline? +

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

Can I rate-limit context_timeline? +

Yes. Add a rate_limit block to the context_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 context_timeline completely? +

Set action: deny in the PolicyLayer policy for context_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 context_timeline? +

context_timeline is provided by the Chitta MCP server (@100xprompt/chitta). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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