time_series_analysis

Temporal analysis when dates are detected.

SERVERObsidian Elite RAG MCP Server SOURCEaegntic/aegntic-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aegntic-aegntic-mcp/time-series-analysis.md

WHAT IT DOES

What time_series_analysis does on Obsidian Elite RAG MCP Server

AI agents call time_series_analysis to retrieve information from Obsidian Elite RAG MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why time_series_analysis is rated Low

This tool analyzes time-series data (reads and processes temporal patterns) without creating, modifying, or deleting records. It does not execute arbitrary code or trigger external operations. The description indicates passive analysis of date-based information within the Obsidian vault RAG system, consistent with Read category semantics.

From the tool's definition Tool performs 'temporal analysis when dates are detected' — a query/analysis operation on existing data with no modification, deletion, or execution capability mentioned.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs time_series_analysis safely

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

time_series_analysis Allowed

time_series_analysis 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": {
    "time_series_analysis": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Obsidian Elite RAG MCP Server, apply this rule, and every time_series_analysis call is checked against it from then on.

FAQ

Questions about time_series_analysis

What does the time_series_analysis tool do? +

Temporal analysis when dates are detected. It is categorised as a Read tool in the Obsidian Elite RAG MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on time_series_analysis? +

Register the Obsidian Elite RAG MCP Server MCP server in PolicyLayer and add a rule for time_series_analysis: 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 Obsidian Elite RAG MCP Server. Nothing to install.

What risk level is time_series_analysis? +

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

Can I rate-limit time_series_analysis? +

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

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

time_series_analysis is provided by the Obsidian Elite RAG MCP Server MCP server (aegntic/aegntic-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Obsidian Elite RAG MCP Server, and thousands of servers like it.

This server

All 135 Obsidian Elite RAG MCP Server tools →

Across the catalogue

emit_invariant_analysis on 0sec → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →