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web_search

Neural and keyword web search over the live web. Returns ranked results with title, URL, publication date and author, optionally with the page text. Sub-second on repeat queries (5-minute cache).

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Low RISK CLASS
Category Read
Parameters 91 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/web-search.md

What web_search does on Gapup Mcp

AI agents call web_search to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
type string Search mode (default auto)
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 search query
category string Restrict results to one kind of page
numResults integer How many results (default 10)
includeText boolean Include the page text in each result (default false)
excludeDomains array
includeDomains array
startPublishedDate string ISO-8601 date; only pages published after it

Parameters from the server's own tool schema.

Why web_search is rated Low

Queries and retrieves publicly available web data without side effects or modifications.

From the tool's definition web search, retrieves ranked results with title, URL, publication date

Questions about web_search

What does the web_search tool do? +

Neural and keyword web search over the live web. Returns ranked results with title, URL, publication date and author, optionally with the page text. Sub-second on repeat queries (5-minute cache). It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does web_search accept? +

web_search accepts 9 parameters: type, async, query, category, numResults, includeText, excludeDomains, includeDomains, startPublishedDate. Required: query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on web_search? +

Register the Gapup MCP server in PolicyLayer and add a rule for web_search: 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 Gapup Mcp. Nothing to install.

What risk level is web_search? +

web_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit web_search? +

Yes. Add a rate_limit block to the web_search 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.

How do I block web_search completely? +

Set action: deny in the PolicyLayer policy for web_search. 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.

What MCP server provides web_search? +

web_search is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Gapup, and thousands of servers like it.

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