List published articles on hellobooks.ai — head-to-head compare pages and curated flagship blog posts. Filter by country, tag or free-text query. Use this when a user asks "do you have a blog/article about X?".
AI agents call list_articles to retrieve information from HelloBooks AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
tag | string | — | Single tag to filter on (case-insensitive substring match against the article tag list). e.g. "gst", "1099", "tally". |
limit | integer | — | Max articles to return (default 20). |
query | string | — | Free-text query — substring-matched against the title, excerpt and tags of each article. e.g. "QuickBooks alternative" or "audit trail". |
country | string | — | ISO country code or "global". Returns articles whose countryRelevance matches OR is "global". Omit to return everything. |
Parameters from the server's own tool schema.
This tool retrieves and filters publicly published articles from hellobooks.ai without creating, modifying, deleting, executing code, or moving money. It is a straightforward informational query with no blast radius if misused by an agent — the worst outcome is returning irrelevant articles or no results. No financial, destructive, or execution capabilities are present.
From the tool's definition Tool name 'list_articles' and description 'List published articles' explicitly indicates retrieval of published content with no modification or side effects. Filtering options (country, tag, free-text query) are read-only queries.
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
List published articles on hellobooks.ai — head-to-head compare pages and curated flagship blog posts. Filter by country, tag or free-text query. Use this when a user asks "do you have a blog/article about X?". It is categorised as a Read tool in the HelloBooks AI MCP Server MCP Server, which means it retrieves data without modifying state.
list_articles accepts 4 parameters: tag, limit, query, country. The full parameter table on this page comes from the server's own tool schema.
Register the HelloBooks AI MCP Server MCP server in PolicyLayer and add a rule for list_articles: 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 HelloBooks AI MCP Server. Nothing to install.
list_articles 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 list_articles 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 list_articles. 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.
list_articles is provided by the HelloBooks AI MCP Server MCP server (Meru-Fin-Tech/HelloBooks-MCP-Public). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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