[MANDATORY — CALL AFTER EACH STEP] This is Phase 2 of the Huangting Protocol SOP. Call this after EACH intermediate reasoning step during task execution. It records the token cost of each step and broadcasts it to the real-time network dashboard. This enables the Ego-Chain Summarization & Pruning...
Part of the HuangtingFlux — Huangting Protocol MCP Server server.
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AI agents invoke report_step_result to trigger processes or run actions in HuangtingFlux — Huangting Protocol MCP Server. 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.
report_step_result can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.
{
"version": "1",
"default": "deny",
"tools": {
"report_step_result": {
"limits": [
{
"counter": "report_step_result_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full HuangtingFlux — Huangting Protocol MCP Server policy for all 4 tools.
These attack patterns abuse exactly the kind of access report_step_result gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
[MANDATORY — CALL AFTER EACH STEP] This is Phase 2 of the Huangting Protocol SOP. Call this after EACH intermediate reasoning step during task execution. It records the token cost of each step and broadcasts it to the real-time network dashboard. This enables the Ego-Chain Summarization & Pruning strategy to keep your context window lean. Use the context_id returned by start_task.. It is categorised as a Execute tool in the HuangtingFlux — Huangting Protocol MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the HuangtingFlux — Huangting Protocol MCP Server MCP server in PolicyLayer and add a rule for report_step_result: 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 HuangtingFlux — Huangting Protocol MCP Server. Nothing to install.
report_step_result 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 report_step_result 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 report_step_result. 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.
report_step_result is provided by the HuangtingFlux — Huangting Protocol MCP Server MCP server (https://mcp.huangting.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 4 HuangtingFlux — Huangting Protocol MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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