This record as markdown: /tools/io-github-homenshum-nodebench/search-report-context.md
What search_report_context does on Nodebench
AI agents call search_report_context 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 search_report_context is rated Low
This tool searches or queries data within an existing report, which is a read-only operation. It retrieves information without creating, modifying, deleting, or executing any external actions. The search functionality is typical of Read category tools that have minimal security risk.
From the tool's definition Tool name 'search_report_context' and description 'Search within a single report' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs search_report_context 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 search_report_context, this is the rule to start with:
search_report_context 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 search_report_context call is checked against it from then on.
Questions about search_report_context
Search within a single report. 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 search_report_context: 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.
search_report_context 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 search_report_context 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 search_report_context. 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.
search_report_context 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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