answer_api_question
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...
This record as markdown: /tools/dev-codeitall-codeitall/answer-api-question.md
What answer_api_question does on Codeitall
AI agents call answer_api_question to retrieve information from Codeitall without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
language | string | — | |
question | string | Yes |
Parameters from the server's own tool schema.
Why answer_api_question is rated Low
This tool retrieves and queries information about Rust APIs, crate behaviors, deprecations, and recommendations. It performs lookups and searches against a knowledge base but does not create, modify, delete, or execute anything. The operations are read-only information retrieval with no side effects.
From the tool's definition The tool 'answers' open-ended Rust API questions by routing them to lookup, comparison, and search operations ('signature_search', 'behavior_lookup', 'compare_implementations', 'find_modern_equivalent').
Attacks that exploit this kind of access
The rule that runs answer_api_question safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Codeitall, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For answer_api_question, this is the rule to start with:
answer_api_question 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 Codeitall, apply this rule, and every answer_api_question call is checked against it from then on.
Questions about answer_api_question
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.
answer_api_question accepts 2 parameters: language, question. Required: question. The full parameter table on this page comes from the server's own tool schema.
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.
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