Get detailed metadata about a specific Coda doc by its ID
AI agents call get_doc_info to retrieve information from Coda without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read-only operation to fetch and return metadata. There is no indication it modifies data, executes code, deletes resources, or has financial implications. The blast radius of misuse is minimal—an agent could enumerate documents or access metadata but cannot alter state or cause irreversible damage.
From the tool's definition Tool retrieves 'detailed metadata about a specific Coda doc by its ID' with no indication of modification, deletion, or side effects. This is a pure query/get operation.
Documented attack patterns abuse exactly the kind of access get_doc_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Coda, and nothing reaches the server without passing your rules. This is the rule we recommend for get_doc_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_doc_info": {}
}
} get_doc_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed metadata about a specific Coda doc by its ID. It is categorised as a Read tool in the Coda MCP Server, which means it retrieves data without modifying state.
Register the Coda MCP server in PolicyLayer and add a rule for get_doc_info: 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. Nothing to install.
get_doc_info 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_doc_info 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_doc_info. 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_doc_info is provided by the Coda MCP server (tjc-lp/coda-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Coda, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Coda tools catalogued and risk-classified — across an index of 43,000+ MCP servers.