maker_validate_lesson
Validate a lesson JSON against the schema. Returns specific errors so custom lesson authors (teachers/parents) can fix them without reading code.
This record as markdown: /tools/kh0pper-crow/maker-validate-lesson.md
What maker_validate_lesson does on Crow
AI agents call maker_validate_lesson to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why maker_validate_lesson is rated Low
This tool performs JSON schema validation, a purely informational operation that checks conformance to a schema and returns diagnostic feedback. It has no side effects, does not execute code, does not modify data, and does not delete or create resources. The low severity reflects that misuse would only result in false validation results, not data loss or unauthorized actions.
From the tool's definition Tool name 'maker_validate_lesson' and description 'Validate a lesson JSON against the schema. Returns specific errors' — the verb 'validate' indicates schema checking/validation against a predefined structure, which is a read-only operation that retrieves and…
Attacks that exploit this kind of access
The rule that runs maker_validate_lesson safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For maker_validate_lesson, this is the rule to start with:
maker_validate_lesson is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every maker_validate_lesson call is checked against it from then on.
Questions about maker_validate_lesson
Validate a lesson JSON against the schema. Returns specific errors so custom lesson authors (teachers/parents) can fix them without reading code. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for maker_validate_lesson: 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 Crow. Nothing to install.
maker_validate_lesson is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the maker_validate_lesson 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 maker_validate_lesson. 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.
maker_validate_lesson is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Crow, and thousands of servers like it.
This server
Across the catalogue