Get blog content by text in content. Args: query: text for an exact match limit: the number of results to include
AI agents call get_by_text to retrieve information from Library MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches and retrieves markdown content from a local knowledge base with exact-match queries. It has no side effects—it does not create, modify, delete, or execute code. The blast radius of misuse is minimal: an agent might retrieve unintended content, but cannot alter the knowledge base or trigger external operations.
From the tool's definition Tool name 'get_by_text' and description 'Get blog content by text in content' indicate retrieval only. Parameters are 'query' (search term) and 'limit' (result count), with no modification or deletion capabilities mentioned.
Documented attack patterns abuse exactly the kind of access get_by_text gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Library MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_by_text:
{
"version": "1",
"default": "deny",
"tools": {
"get_by_text": {}
}
} get_by_text is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get blog content by text in content. Args: query: text for an exact match limit: the number of results to include. It is categorised as a Read tool in the Library MCP MCP Server, which means it retrieves data without modifying state.
Register the Library MCP server in PolicyLayer and add a rule for get_by_text: 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 Library MCP. Nothing to install.
get_by_text 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 get_by_text 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 get_by_text. 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.
get_by_text is provided by the Library MCP server (lethain/library-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Library MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Library MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.