Low Risk

lyra_get_shared_availability

Returns busy windows for YOU plus a set of named attendees from your Lyra contacts, within a time window. For each attendee you provide, the tool looks up whether their Lyra profile has a connected Google calendar; if so, their busy blocks contribute to the aggregated suggested_free_intervals. If...

Risk signalsHandles credentials or secrets (api_key)

Part of the Lyra Mcp Server server.

lyra_get_shared_availability is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call lyra_get_shared_availability to retrieve information from Lyra Mcp Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though lyra_get_shared_availability only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lyra_get_shared_availability": {}
  }
}

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These attack patterns abuse exactly the kind of access lyra_get_shared_availability gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so lyra_get_shared_availability only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the lyra_get_shared_availability tool do? +

Returns busy windows for YOU plus a set of named attendees from your Lyra contacts, within a time window. For each attendee you provide, the tool looks up whether their Lyra profile has a connected Google calendar; if so, their busy blocks contribute to the aggregated suggested_free_intervals. If not (or if they're not a linked Lyra profile), they're marked requires_manual_confirm: true so you know to ask them directly. Cap of 8 attendees per call. Privacy: per-attendee busy time ranges are returned, never event titles or summaries. Use this when you need to find a time that works for several people at once. Requires an active Google calendar connection on your own Lyra account and API key authentication.. It is categorised as a Read tool in the Lyra Mcp Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on lyra_get_shared_availability? +

Register the Lyra Mcp Server MCP server in PolicyLayer and add a rule for lyra_get_shared_availability: 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 Lyra Mcp Server. Nothing to install.

What risk level is lyra_get_shared_availability? +

lyra_get_shared_availability is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit lyra_get_shared_availability? +

Yes. Add a rate_limit block to the lyra_get_shared_availability 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.

How do I block lyra_get_shared_availability completely? +

Set action: deny in the PolicyLayer policy for lyra_get_shared_availability. 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.

What MCP server provides lyra_get_shared_availability? +

lyra_get_shared_availability is provided by the Lyra Mcp Server MCP server (https://mcp.checklyra.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lyra Mcp Server tool call.

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