Review your implementation plan against knowledge base documentation before coding. Pass your proposed approach and the KB will check it against documented best practices, known pitfalls, and real framework behavior — catching mistakes before you write code. Use this tool when you: - Have a pla...
Part of the Leeroopedia MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use review_plan to create or modify resources in Leeroopedia. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call review_plan repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Leeroopedia.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
review_plan:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Leeroopedia policy for all 8 tools.
Agents calling write-class tools like review_plan have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Review your implementation plan against knowledge base documentation before coding. Pass your proposed approach and the KB will check it against documented best practices, known pitfalls, and real framework behavior — catching mistakes before you write code. Use this tool when you: - Have a plan and want to validate it before executing - Want to catch incorrect assumptions about how a framework works - Need to know what pitfalls or edge cases to watch out for Returns: approvals (what looks good), risks, and improvement suggestions.. It is categorised as a Write tool in the Leeroopedia MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for review_plan. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Leeroopedia MCP server.
review_plan is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the review_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 review_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.
review_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