Search across all accessible Coda documents by title keyword. Args: - query (string): Search term - limit (number): Max results (default 25) - response_format:
AI agents call coda_search_docs to retrieve information from Coda 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 data (document metadata by title keyword) without side effects. It matches the Read category pattern of search/query operations. Severity is low because search operations have minimal blast radius—an AI agent cannot misuse this to cause harm beyond potentially discovering documents it shouldn't access, which is a data exposure risk but not an active harm vector.
From the tool's definition Tool name is 'coda_search_docs' and description states it 'Search[es] across all accessible Coda documents by title keyword.' The arguments are query (search term) and limit (max results), with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Search across all accessible Coda documents by title keyword. Args: - query (string): Search term - limit (number): Max results (default 25) - response_format:. It is categorised as a Read tool in the Coda MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Coda MCP Server MCP server in PolicyLayer and add a rule for coda_search_docs: 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 Coda MCP Server. Nothing to install.
coda_search_docs 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 coda_search_docs 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 coda_search_docs. 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.
coda_search_docs is provided by the Coda MCP Server MCP server (thierryvm/coda-mcp-server). 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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