trace_usage

Trace dependencies and dependents of a module. Shows what it uses (upstream) and what uses it (downstream).

Server Hive Mind MCP Server jahanzaib-kaleem/hive-mind-mcp
Category Read
Risk class Low
Parameters 00 required

What trace_usage does on Hive Mind MCP Server

AI agents call trace_usage to retrieve information from Hive Mind MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why trace_usage needs a policy

The tool queries and presents dependency graph information about code modules. This is a read-only operation with no side effects, no code execution, and no data modification.

From the tool's definition Tool description states it 'Trace dependencies and dependents of a module. Shows what it uses (upstream) and what uses it (downstream).' This is purely informational—retrieving and displaying dependency relationships without modifying, executing, or deleting…

Questions about trace_usage

What does the trace_usage tool do? +

Trace dependencies and dependents of a module. Shows what it uses (upstream) and what uses it (downstream). It is categorised as a Read tool in the Hive Mind MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on trace_usage? +

Register the Hive Mind MCP Server MCP server in PolicyLayer and add a rule for trace_usage: 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 Hive Mind MCP Server. Nothing to install.

What risk level is trace_usage? +

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

Can I rate-limit trace_usage? +

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

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

trace_usage is provided by the Hive Mind MCP Server MCP server (jahanzaib-kaleem/hive-mind-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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