search_author
Search for an author on Open Library by name.
This record as markdown: /tools/shriram-vasudevan-integrations-mcp/search-author.md
What search_author does on Integrations MCP
AI agents call search_author to retrieve information from Integrations MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why search_author is rated Low
This tool retrieves information about authors from Open Library's public database. It has no side effects, does not modify data, and does not execute arbitrary code or commands. It is purely a read/retrieval operation, making it the lowest risk category.
From the tool's definition Tool name is 'search_author' and description states it 'Search[es] for an author on Open Library by name' — a query operation with no data modification capability.
Attacks that exploit this kind of access
The rule that runs search_author safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Integrations MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_author, this is the rule to start with:
search_author is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Integrations MCP, apply this rule, and every search_author call is checked against it from then on.
Questions about search_author
Search for an author on Open Library by name. It is categorised as a Read tool in the Integrations MCP MCP Server, which means it retrieves data without modifying state.
Register the Integrations MCP server in PolicyLayer and add a rule for search_author: 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 Integrations MCP. Nothing to install.
search_author 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_author 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_author. 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_author is provided by the Integrations MCP server (shriram-vasudevan/integrations-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Integrations, and thousands of servers like it.
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