search_greenlit_books

Ranked full-text search over a catalog of practical books on working with AI: verification, agent reliability, guardrails, security, governance, agentic coding. Returns scored results with title, description, series, and links. Follow a result's apiUrl or call get_book for the full record.

SERVERGreenlit Books SOURCEhttps://greenlitbooks.com/api/mcp

Low RISK CLASS

Category Read

Parameters 41 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/com-greenlitbooks-catalog/search-greenlit-books.md

WHAT IT DOES

What search_greenlit_books does on Greenlit Books

AI agents call search_greenlit_books to retrieve information from Greenlit Books 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
`q`	string	Yes	The search query.
`limit`	integer	—	Max results, default 10.
`series`	string	—	Restrict to one series.
`audience`	string	—	Restrict to one reader level.

Parameters from the server's own tool schema.

RISK

Why search_greenlit_books is rated Low

Even though search_greenlit_books only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs search_greenlit_books safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Greenlit Books, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_greenlit_books, this is the rule to start with:

search_greenlit_books Allowed

search_greenlit_books is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_greenlit_books": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Greenlit Books, apply this rule, and every search_greenlit_books call is checked against it from then on.

FAQ

Questions about search_greenlit_books

What does the search_greenlit_books tool do? +

What parameters does search_greenlit_books accept? +

search_greenlit_books accepts 4 parameters: q, limit, series, audience. Required: q. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on search_greenlit_books? +

Register the Greenlit Books MCP server in PolicyLayer and add a rule for search_greenlit_books: 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 Greenlit Books. Nothing to install.

What risk level is search_greenlit_books? +

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

Can I rate-limit search_greenlit_books? +

Yes. Add a rate_limit block to the search_greenlit_books 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 search_greenlit_books completely? +

Set action: deny in the PolicyLayer policy for search_greenlit_books. 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 search_greenlit_books? +

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

KEEP EXPLORING

More on Greenlit Books, and thousands of servers like it.

This server

All 5 Greenlit Books tools →

Across the catalogue

evaluate_search_quality on ACE-MCP →search_torrents on M-Team MCP Server →aiva_search_customers on AIVA MCP Server →search_channel on YouTube MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →