Returns a list of all keywords with their descriptions.
AI agents call get_keywords to retrieve information from LODA API MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata (keywords and descriptions) from the OEIS database without modifying, executing, or deleting any data. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_keywords' and description 'Returns a list of all keywords with their descriptions' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Returns a list of all keywords with their descriptions. It is categorised as a Read tool in the LODA API MCP Server MCP Server, which means it retrieves data without modifying state.
Register the LODA API MCP Server MCP server in PolicyLayer and add a rule for get_keywords: 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 LODA API MCP Server. Nothing to install.
get_keywords 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_keywords 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_keywords. 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_keywords is provided by the LODA API MCP Server MCP server (loda-lang/loda-mcp). 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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