verify_concept_support
Check if a source file contains all required code signatures for a concept. Provide a concept name and a list of regex patterns that MUST exist for the concept to be considered implemented. Returns match score (0-100%), status (Fully/Partially/Not Implemented), evidence found, and gap analysis. R...
This record as markdown: /tools/io-github-homenshum-nodebench/verify-concept-support.md
What verify_concept_support does on Nodebench
AI agents call verify_concept_support 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 verify_concept_support is rated Low
This tool reads source code and performs pattern matching analysis, returning verification results. The persistence to SQLite is tracking/logging of analysis outcomes, not modification of the primary data being analyzed. No code execution, data modification, deletion, or financial operations occur.
From the tool's definition 'Check if a source file contains all required code signatures' - performs verification/analysis without modification. 'Returns match score, status, evidence found, and gap analysis' - reporting only.
Attacks that exploit this kind of access
The rule that runs verify_concept_support 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 verify_concept_support, this is the rule to start with:
verify_concept_support 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 verify_concept_support call is checked against it from then on.
Questions about verify_concept_support
Check if a source file contains all required code signatures for a concept. Provide a concept name and a list of regex patterns that MUST exist for the concept to be considered implemented. Returns match score (0-100%), status (Fully/Partially/Not Implemented), evidence found, and gap analysis. Results are persisted to SQLite for tracking progress over time. 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 verify_concept_support: 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.
verify_concept_support 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 verify_concept_support 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 verify_concept_support. 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.
verify_concept_support 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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