Build a study set of HSK words for a given level, ordered by frequency (most common first). Each word includes simplified/traditional characters, pinyin, part of speech, meanings, radical, frequency rank, and HSK levels. Paginated (20 per page).
Single-target operation
Part of the Hsk MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke hsk_build_study_set to trigger processes or run actions in Hsk. 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.
hsk_build_study_set 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:
hsk_build_study_set:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Hsk policy for all 13 tools.
Agents calling execute-class tools like hsk_build_study_set 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.
hsk_build_study_set is one of the high-risk operations in Hsk. 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.
Build a study set of HSK words for a given level, ordered by frequency (most common first). Each word includes simplified/traditional characters, pinyin, part of speech, meanings, radical, frequency rank, and HSK levels. Paginated (20 per page).. It is categorised as a Execute tool in the Hsk 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 hsk_build_study_set. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Hsk MCP server.
hsk_build_study_set 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 hsk_build_study_set 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 hsk_build_study_set. 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.
hsk_build_study_set is provided by the Hsk MCP server (kuibin-dev/hsk-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.