Execute implementation plans step-by-step with goal-oriented verification. COORDINATOR PATTERN - tracks actual plan steps: 1. Call with mode:
Part of the Tachibot server.
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AI agents use planner_runner to create or modify resources in Tachibot. 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 planner_runner repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Tachibot.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"planner_runner": {
"limits": [
{
"counter": "planner_runner_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Tachibot policy for all 104 tools.
These attack patterns abuse exactly the kind of access planner_runner gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Execute implementation plans step-by-step with goal-oriented verification. COORDINATOR PATTERN - tracks actual plan steps: 1. Call with mode:. It is categorised as a Write tool in the Tachibot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tachibot MCP server in PolicyLayer and add a rule for planner_runner: 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 Tachibot. Nothing to install.
planner_runner 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 planner_runner 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 planner_runner. 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.
planner_runner is provided by the Tachibot MCP server (tachibot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 104 Tachibot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.