build_debugging_context

Build issue-focused context by combining relevant resources and documentation routes for a debugging query.

Server Cartesi Knowledge MCP Server mugen-builders/mcp-server
Category Read
Risk class Low
Parameters 00 required

What build_debugging_context does on Cartesi Knowledge MCP Server

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

Why build_debugging_context needs a policy

The tool aggregates and combines existing resources and documentation routes to build context for debugging. It reads/queries curated knowledge resources without modifying or executing anything. Consistent with the server description of 'read-only knowledge access'. Severity is low as misuse only exposes documentation content.

From the tool's definition Build issue-focused context by combining relevant resources and documentation routes for a debugging query

Questions about build_debugging_context

What does the build_debugging_context tool do? +

Build issue-focused context by combining relevant resources and documentation routes for a debugging query. It is categorised as a Read tool in the Cartesi Knowledge MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on build_debugging_context? +

Register the Cartesi Knowledge MCP Server MCP server in PolicyLayer and add a rule for build_debugging_context: 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 Cartesi Knowledge MCP Server. Nothing to install.

What risk level is build_debugging_context? +

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

Can I rate-limit build_debugging_context? +

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

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

build_debugging_context is provided by the Cartesi Knowledge MCP Server MCP server (mugen-builders/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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