continue_hive_build
AI agents invoke continue_hive_build to trigger actions in Hive Mind MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool likely triggers continuation of an automated build process that generates and modifies documentation files ('hivemind.md files and flowchart diagrams'). Building and file generation constitute Execute operations whose effects depend on codebase state and build parameters.
From the tool's definition Tool name contains 'continue' and 'build' suggesting it resumes a code generation/documentation process. The sibling tools include 'start_hive_build' and 'build_hive', indicating this participates in an automated build system that generates and maintains…
Attacks that exploit this kind of access
continue_hive_build. It is categorised as a Execute tool in the Hive Mind MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Hive Mind MCP Server MCP server in PolicyLayer and add a rule for continue_hive_build: 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.
continue_hive_build is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the continue_hive_build 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 continue_hive_build. 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.
continue_hive_build 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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