AI agents call get_glossary_counts to retrieve information from Lara 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 (counts) about glossaries without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security impact.
From the tool's definition Tool name is 'get_glossary_counts' and description states it 'Retrieves the term and language counts' - retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Retrieves the term and language counts for a glossary in your Lara Translate account. It is categorised as a Read tool in the Lara MCP Server, which means it retrieves data without modifying state.
Register the Lara MCP server in PolicyLayer and add a rule for get_glossary_counts: 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 Lara. Nothing to install.
get_glossary_counts 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_glossary_counts 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_glossary_counts. 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_glossary_counts is provided by the Lara MCP server (@translated/lara-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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