classify_failure
Classify a failure by canonical system layer taxonomy. Tracks symptom, root cause, and system layer for structured triage.
This record as markdown: /tools/io-github-homenshum-nodebench/classify-failure.md
What classify_failure does on Nodebench
AI agents call classify_failure to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why classify_failure is rated Low
This tool analyzes and categorizes existing failure information for diagnostic purposes. It retrieves or interprets failure data to assign it to a taxonomy, which is a read operation. There are no indications that it modifies systems, executes commands, deletes data, or initiates financial transactions.
From the tool's definition The tool 'classify_failure' is described as tracking and organizing failure data by 'symptom, root cause, and system layer for structured triage.' The verb 'classify' and 'tracks' indicate data retrieval, analysis, and categorization without modification or…
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs classify_failure 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 classify_failure, this is the rule to start with:
classify_failure is read-only, so it stays allowed. 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 classify_failure call is checked against it from then on.
Questions about classify_failure
Classify a failure by canonical system layer taxonomy. Tracks symptom, root cause, and system layer for structured triage. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for classify_failure: 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.
classify_failure 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 classify_failure 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 classify_failure. 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.
classify_failure 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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