complete_autonomy_benchmark
Finalize an autonomy benchmark run. Computes final score, duration, tool usage stats, and comparison against reference (e.g. Anthropic
This record as markdown: /tools/io-github-homenshum-nodebench/complete-autonomy-benchmark.md
What complete_autonomy_benchmark does on Nodebench
AI agents use complete_autonomy_benchmark to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.
Why complete_autonomy_benchmark is rated Medium
The tool modifies benchmark state by finalizing a run and computing/storing final scores and stats. This is a reversible write operation that records results. It does not delete data (so not Destructive), execute arbitrary code (so not Execute), or move money (so not Financial).
From the tool's definition Finalize an autonomy benchmark run. Computes final score, duration, tool usage stats, and comparison against reference
Attacks that exploit this kind of access
The rule that runs complete_autonomy_benchmark safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete_autonomy_benchmark, this is the rule to start with:
complete_autonomy_benchmark stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every complete_autonomy_benchmark call is checked against it from then on.
Questions about complete_autonomy_benchmark
Finalize an autonomy benchmark run. Computes final score, duration, tool usage stats, and comparison against reference (e.g. Anthropic. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nodebench MCP server in PolicyLayer and add a rule for complete_autonomy_benchmark: 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 Nodebench. Nothing to install.
complete_autonomy_benchmark 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 complete_autonomy_benchmark 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 complete_autonomy_benchmark. 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.
complete_autonomy_benchmark is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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