web_answer
Get a direct, cited answer to a question, grounded in live web sources. Returns the answer text plus the sources it was built from. Use when you want a conclusion rather than a list of links.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/web-answer.md
What web_answer does on Mcp Knowledge
AI agents call web_answer to retrieve information from Mcp Knowledge 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 |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
query | string | Yes | The question to answer |
includeText | boolean | — | Include the full text of each cited source (default false) |
Parameters from the server's own tool schema.
Why web_answer is rated Low
Tool retrieves and queries information from web sources with no side effects or data modification.
From the tool's definition Get a direct, cited answer to a question, grounded in live web sources.
Attacks that exploit this kind of access
The rule that runs web_answer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For web_answer, this is the rule to start with:
web_answer 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 Mcp Knowledge, apply this rule, and every web_answer call is checked against it from then on.
Questions about web_answer
Get a direct, cited answer to a question, grounded in live web sources. Returns the answer text plus the sources it was built from. Use when you want a conclusion rather than a list of links. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
web_answer accepts 3 parameters: async, query, includeText. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for web_answer: 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 Mcp Knowledge. Nothing to install.
web_answer 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 web_answer 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 web_answer. 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.
web_answer is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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