web__local_search

Multi-source web research with citations. Returns a synthesized answer with numbered [^1] markers and a citations array of {url, title, snippet, index}. Use for evidence-backed synthesis (competitive analysis, regulatory summary, whitepaper section). For quick fact lookups use web.search instead.

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp
Low RISK CLASS
Category Read
Parameters 31 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/web--local-search.md

What web__local_search does on Dialogbrain

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

ParameterTypeRequiredDescription
query string Yes Research question. Specific scoped questions outperform vague keywords.
language string Search language hint (BCP-47, e.g. 'en', 'ru'). Defaults to 'en'. The synthesis output language matches the query language regardless.
num_sources integer How many top search results to fetch and synthesize (1-4, default 4). Lower = faster + cheaper, higher = more comprehensive.

Parameters from the server's own tool schema.

Why web__local_search is rated Low

web__local_search retrieves and synthesizes information from web sources without any side effects. It reads data and returns citations, answers, and snippets—classic Read behavior. No data is modified, deleted, executed, or financially committed. The tool is explicitly positioned as an alternative to quick fact lookups with no capability to alter state.

From the tool's definition Tool description states it 'Returns a synthesized answer with numbered markers and a citations array' and is used for 'evidence-backed synthesis' and 'fact lookups'.

Questions about web__local_search

What does the web__local_search tool do? +

Multi-source web research with citations. Returns a synthesized answer with numbered [^1] markers and a citations array of {url, title, snippet, index}. Use for evidence-backed synthesis (competitive analysis, regulatory summary, whitepaper section). For quick fact lookups use web.search instead. It is categorised as a Read tool in the Dialogbrain MCP Server, which means it retrieves data without modifying state.

What parameters does web__local_search accept? +

web__local_search accepts 3 parameters: query, language, num_sources. 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__local_search? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for web__local_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 Dialogbrain. Nothing to install.

What risk level is web__local_search? +

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

Can I rate-limit web__local_search? +

Yes. Add a rate_limit block to the web__local_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__local_search completely? +

Set action: deny in the PolicyLayer policy for web__local_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__local_search? +

web__local_search is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Dialogbrain, and thousands of servers like it.

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