Suggest comprehensive edge cases for a given function/code. Returns categorized edge cases: happy path, error handling, boundary, type coercion, integration.
Part of the Ai Validation server.
Free to start. No card required.
AI agents call suggest_edge_cases to retrieve information from Ai Validation without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though suggest_edge_cases only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"suggest_edge_cases": {}
}
}See the full Ai Validation policy for all 3 tools.
These attack patterns abuse exactly the kind of access suggest_edge_cases gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Suggest comprehensive edge cases for a given function/code. Returns categorized edge cases: happy path, error handling, boundary, type coercion, integration.. It is categorised as a Read tool in the Ai Validation MCP Server, which means it retrieves data without modifying state.
Register the Ai Validation MCP server in PolicyLayer and add a rule for suggest_edge_cases: 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 Ai Validation. Nothing to install.
suggest_edge_cases 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 suggest_edge_cases 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 suggest_edge_cases. 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.
suggest_edge_cases is provided by the Ai Validation MCP server (ai-validation-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 Ai Validation tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.