<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 se...
Bulk/mass operation — affects multiple targets
Part of the Deepcontext MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents may call clear_index to permanently remove or destroy resources in Deepcontext. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. Intercept blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call clear_index in a loop, permanently destroying resources in Deepcontext. There is no undo for destructive operations. Intercept blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
tools:
clear_index:
rules:
- action: deny
reason: "Blocked by default — enable with approval" See the full Deepcontext policy for all 4 tools.
Agents calling destructive-class tools like clear_index have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Destructive risk category across the catalogue. The same policy patterns (deny, require_approval) apply to each.
clear_index is one of the critical-risk operations in Deepcontext. For the full severity-focused view — only the critical-risk tools with their recommended policies — see the breakdown for this server, or browse all critical-risk tools across every MCP server.
<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="codebase_path" required="false"> <type>string</type> <description>ABSOLUTE path to the codebase to clear</description> <examples> <valid>/Users/name/project</valid> <valid>/home/user/code/repo</valid> <invalid>.</invalid> <invalid>../project</invalid> <invalid>relative/path</invalid> </examples> <validation>Must be absolute path starting with / (Unix) or C:\ (Windows)</validation> <optional_behavior>Omit to clear ALL indexed codebases (use with caution)</optional_behavior> </parameter> </parameters> <warnings> <warning>Destructive operation. All search capabilities lost until reindexing</warning> </warnings> </tool>. 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.
Add a rule in your Intercept YAML policy under the tools section for clear_index. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Deepcontext MCP server.
clear_index is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clear_index 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.
Set action: deny in the Intercept 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.
clear_index is provided by the Deepcontext MCP server (@wildcard-ai/deepcontext). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept