log_phase_findings
Record findings for the current phase of a verification cycle. Advances the cycle to the next phase if the current phase passes. If it fails, returns guidance to loop back.
This record as markdown: /tools/io-github-homenshum-nodebench/log-phase-findings.md
What log_phase_findings does on Nodebench
AI agents use log_phase_findings 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 log_phase_findings is rated Medium
The tool writes/records phase findings and mutates the state of a verification cycle (advancing phases or triggering loop-back). This is a stateful write operation with no indication of irreversible destruction or financial impact. Misuse could corrupt verification cycle state, warranting medium severity.
From the tool's definition 'Record findings for the current phase of a verification cycle. Advances the cycle to the next phase if the current phase passes.'
Attacks that exploit this kind of access
The rule that runs log_phase_findings 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 log_phase_findings, this is the rule to start with:
log_phase_findings 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 log_phase_findings call is checked against it from then on.
Questions about log_phase_findings
Record findings for the current phase of a verification cycle. Advances the cycle to the next phase if the current phase passes. If it fails, returns guidance to loop back. 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 log_phase_findings: 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.
log_phase_findings 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 log_phase_findings 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 log_phase_findings. 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.
log_phase_findings 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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