Search for content within a GitBook space using a text query
AI agents call search_content to retrieve information from GitBook MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries documentation content based on a search term. It has no side effects—it does not create, modify, delete, or execute operations. It is a standard read-only information retrieval operation. The sibling tools (list_*, get_*) are all also read-only, reinforcing this classification. The blast radius of misuse is minimal; an attacker could only discover or exfiltrate existing documentation.
From the tool's definition Tool name 'search_content' and description 'Search for content within a GitBook space using a text query' indicate a search/query operation with no data modification.
Documented attack patterns abuse exactly the kind of access search_content gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GitBook MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_content:
{
"version": "1",
"default": "deny",
"tools": {
"search_content": {}
}
} search_content is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for content within a GitBook space using a text query. It is categorised as a Read tool in the GitBook MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitBook MCP Server MCP server in PolicyLayer and add a rule for search_content: 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 GitBook MCP Server. Nothing to install.
search_content 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 search_content 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 search_content. 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.
search_content is provided by the GitBook MCP Server MCP server (rickysullivan/gitbook-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GitBook MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 GitBook MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.