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hnalgolia.search.comments

Search HackerNews comments by keyword — retrieves community opinions, technical insights, and discussions across the full HN history. Each result includes comment text (HTML-stripped), parent story context (title + URL), author, and direct HN link. No auth required. Data: Hacker News (CC BY 3.0).

SERVERApibase SOURCEapibase-mcp-client
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-whiteknightonhorse-apibase/hnalgolia.search.comments.md

What hnalgolia.search.comments does on Apibase

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

ParameterTypeRequiredDescription
page integer — Zero-based page index for pagination (default 0).
limit integer — Number of comments to return (1–30, default 10).
query string Yes Search query to find comments across HackerNews history. Returns comment text, story context (title + URL), author, and direct HN link. Useful for finding commu

Parameters from the server's own tool schema.

Why hnalgolia.search.comments is rated Low

Queries public Hacker News data without modifying, executing, or affecting external systems.

From the tool's definition Search HackerNews comments by keyword — retrieves community opinions, technical insights

Questions about hnalgolia.search.comments

What does the hnalgolia.search.comments tool do? +

Search HackerNews comments by keyword — retrieves community opinions, technical insights, and discussions across the full HN history. Each result includes comment text (HTML-stripped), parent story context (title + URL), author, and direct HN link. No auth required. Data: Hacker News (CC BY 3.0). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does hnalgolia.search.comments accept? +

hnalgolia.search.comments accepts 3 parameters: page, limit, query. Required: query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on hnalgolia.search.comments? +

Register the Apibase MCP server in PolicyLayer and add a rule for hnalgolia.search.comments: 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 Apibase. Nothing to install.

What risk level is hnalgolia.search.comments? +

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

Can I rate-limit hnalgolia.search.comments? +

Yes. Add a rate_limit block to the hnalgolia.search.comments 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 hnalgolia.search.comments completely? +

Set action: deny in the PolicyLayer policy for hnalgolia.search.comments. 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 hnalgolia.search.comments? +

hnalgolia.search.comments is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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