Get a structured implementation plan based on knowledge base documentation. Covers a wide range of ML/AI frameworks, libraries, and tools with architecture docs, implementation patterns, configuration references, and troubleshooting guides. Returns an actionable plan with numbered steps, specs,...
Part of the Leeroopedia MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke build_plan to trigger processes or run actions in Leeroopedia. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
build_plan can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
build_plan:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Leeroopedia policy for all 8 tools.
Agents calling execute-class tools like build_plan have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
build_plan is one of the high-risk operations in Leeroopedia. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Get a structured implementation plan based on knowledge base documentation. Covers a wide range of ML/AI frameworks, libraries, and tools with architecture docs, implementation patterns, configuration references, and troubleshooting guides. Returns an actionable plan with numbered steps, specs, and validation criteria — all based on how the framework actually works. Use this tool when you: - Are about to implement something and want the correct sequence of steps - Need a plan informed by real framework documentation, not just general knowledge - Want validation criteria to verify your implementation against Returns: overview, key specs, numbered steps, and validation criteria.. It is categorised as a Execute tool in the Leeroopedia MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for build_plan. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leeroopedia MCP server.
build_plan 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 build_plan 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 build_plan. 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.
build_plan is provided by the Leeroopedia MCP server (leeroopedia/leeroopedia). 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