Use this when an agent asks open-ended Rust API questions like 'how do I parse a duration string', 'which crate gives me HMAC verification', 'is this function deprecated', 'what's the current way to do JWT auth', or 'compare base64 crates'. Hand off free-text questions verbatim; the substrate rou...
Part of the Codeitall server.
Free to start. No card required.
AI agents call answer_api_question to retrieve information from Codeitall 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 answer_api_question 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": {
"answer_api_question": {}
}
}See the full Codeitall policy for all 8 tools.
These attack patterns abuse exactly the kind of access answer_api_question 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.
Use this when an agent asks open-ended Rust API questions like 'how do I parse a duration string', 'which crate gives me HMAC verification', 'is this function deprecated', 'what's the current way to do JWT auth', or 'compare base64 crates'. Hand off free-text questions verbatim; the substrate routes them deterministically via rule-based intent detection (no LLM in the request path) and dispatches into signature_search, behavior_lookup, compare_implementations, or find_modern_equivalent as appropriate, falling back to bge-m3 cosine retrieval if no rule matches. Returns a structured verdict with routed_via, the primary recommendation, evidence, and caveats.. It is categorised as a Read tool in the Codeitall MCP Server, which means it retrieves data without modifying state.
Register the Codeitall MCP server in PolicyLayer and add a rule for answer_api_question: 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 Codeitall. Nothing to install.
answer_api_question 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 answer_api_question 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 answer_api_question. 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.
answer_api_question is provided by the Codeitall MCP server (https://api.codeitall.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Codeitall 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.