<tool> <purpose>Check if codebases are indexed and get their status information</purpose> <enhanced_features> <feature>Shows completion statistics for finished indexing (success rates, processing time, performance metrics)</feature> <feature>Displays batch processing details (successful/skipped b...
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AI agents call get_indexing_status to retrieve information from Deepcontext without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_indexing_status only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_indexing_status": {}
}
} See the full Deepcontext policy for all 4 tools.
These attack patterns abuse exactly the kind of access get_indexing_status gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
<tool> <purpose>Check if codebases are indexed and get their status information</purpose> <enhanced_features> <feature>Shows completion statistics for finished indexing (success rates, processing time, performance metrics)</feature> <feature>Displays batch processing details (successful/skipped batches)</feature> <feature>References log files for detailed debugging</feature> </enhanced_features> <when_to_use> <scenario>Before indexing to check if already done</scenario> <scenario>After indexing to see completion statistics and success rates</scenario> <scenario>Debug why search returned no results</scenario> <scenario>Confirm indexing completed successfully</scenario> <scenario>Get overview of all indexed codebases</scenario> </when_to_use> <parameters> <parameter name="codebase_path" required="false"> <type>string</type> <description>ABSOLUTE path to specific codebase to check</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 get status of all indexed codebases</optional_behavior> </parameter> </parameters> <returns>Enhanced indexing status with completion statistics when available</returns> </tool>. It is categorised as a Read tool in the Deepcontext MCP Server, which means it retrieves data without modifying state.
Register the Deepcontext MCP server in PolicyLayer and add a rule for get_indexing_status: 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.
get_indexing_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_indexing_status 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.
Set action: deny in the PolicyLayer policy for get_indexing_status. 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.
get_indexing_status is provided by the Deepcontext MCP server (@wildcard-ai/deepcontext). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 4 Deepcontext tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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