maker_hint
Request a scaffolded hint for the current activity. Output is filtered (reading-level / blocklist / length) and rate-limited. On filter failure, returns a canned lesson hint. In the
This record as markdown: /tools/kh0pper-crow/maker-hint.md
What maker_hint does on Crow
AI agents call maker_hint 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_hint is rated Low
This tool retrieves hint information filtered by reading level, blocklist, and length constraints. It has no capability to modify, execute operations, delete data, or move money. The rate-limiting and canned fallback responses confirm this is a read-only query operation. The incomplete description ('In the' appears cut off) does not suggest any side effects, maintaining the Read classification with high confidence.
From the tool's definition Tool description indicates it 'Request[s] a scaffolded hint for the current activity' with filtering and rate-limiting applied. The verb 'request' and focus on retrieving hints indicates data retrieval without side effects.
Attacks that exploit this kind of access
The rule that runs maker_hint 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_hint, this is the rule to start with:
maker_hint 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_hint call is checked against it from then on.
Questions about maker_hint
Request a scaffolded hint for the current activity. Output is filtered (reading-level / blocklist / length) and rate-limited. On filter failure, returns a canned lesson hint. In the. 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_hint: 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_hint 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_hint 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_hint. 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_hint 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.
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