Critical Risk →

clear_index

<tool> <purpose>Permanently removes all indexed data for a codebase</purpose> <when_to_use> <scenario>Clear stale data before reindexing after major code changes</scenario> <scenario>Remove old indexed codebases no longer needed</scenario> <scenario>Fix corrupted index causing search issues</scen...

How to control clear_index ↓

AI agents call clear_index to permanently remove resources in DeepContext — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

This tool irreversibly deletes indexed data. While the data can theoretically be regenerated via re-indexing, the permanent deletion of the current index constitutes a destructive action that cannot be undone without additional operations.

From the tool's definition Tool purpose explicitly states 'Permanently removes all indexed data for a codebase' with no recovery mechanism described.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "clear_index"
  ]
}

clear_index disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register DeepContext — 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.
RESTRICT THIS TOOL →

Free to start. No card required.

Go deeper

What does the clear_index tool do? +

<tool> <purpose>Permanently removes all indexed data for a codebase</purpose> <when_to_use> <scenario>Clear stale data before reindexing after major code changes</scenario> <scenario>Remove old indexed codebases no longer needed</scenario> <scenario>Fix corrupted index causing search issues</scenario> </when_to_use> <parameters> <parameter name=. It is categorised as a Destructive tool in the DeepContext MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on clear_index? +

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

What risk level is clear_index? +

clear_index is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit clear_index? +

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

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

clear_index is provided by the DeepContext MCP server (wildcard-official/deepcontext-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DeepContext tool call.

Deterministic rules across all 4 DeepContext tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

// GET IN TOUCH

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

Message sent.

We'll get back to you soon.