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Part of the Autodock server.
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AI agents call env.reserve to retrieve information from Autodock without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though env.reserve only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"env.reserve": {}
}
}See the full Autodock policy for all 27 tools.
These attack patterns abuse exactly the kind of access env.reserve gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Preview the cost of reserving an environment for 30 days ($149). Reserved environments do not auto-stop and do not count against your concurrent environment limit. Requires a paid plan (Starter or Pro).. It is categorised as a Read tool in the Autodock MCP Server, which means it retrieves data without modifying state.
Register the Autodock MCP server in PolicyLayer and add a rule for env.reserve: 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 Autodock. Nothing to install.
env.reserve 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 env.reserve 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 env.reserve. 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.
env.reserve is provided by the Autodock MCP server (mikesol/autodock). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 27 Autodock tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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