convex_search_gotchas
Search the persistent Convex gotcha database using full-text search. Returns relevant gotchas, edge cases, and patterns. Always search before starting a new Convex implementation to avoid known pitfalls.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-search-gotchas.md
What convex_search_gotchas does on Nodebench
AI agents call convex_search_gotchas 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 convex_search_gotchas is rated Low
This is a search/query tool that retrieves information from a knowledge database. It has no side effects, creates no changes to data, and performs no destructive or financial operations. The primary function is data retrieval, which is characteristic of the Read category. Severity is low because misuse would only result in receiving irrelevant search results, with no blast radius or harmful consequences.
From the tool's definition "Search the persistent Convex gotcha database using full-text search. Returns relevant gotchas, edge cases, and patterns." The tool retrieves and queries data from a database without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
The rule that runs convex_search_gotchas 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 convex_search_gotchas, this is the rule to start with:
convex_search_gotchas 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 convex_search_gotchas call is checked against it from then on.
Questions about convex_search_gotchas
Search the persistent Convex gotcha database using full-text search. Returns relevant gotchas, edge cases, and patterns. Always search before starting a new Convex implementation to avoid known pitfalls. 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 convex_search_gotchas: 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.
convex_search_gotchas 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 convex_search_gotchas 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 convex_search_gotchas. 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.
convex_search_gotchas 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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