Use this to retrieve the last check results for a server. Finds the most recent run artifact by target ID so you can review previous results or diff against a new run.
Part of the Mcp Observatory server.
Free to start. No card required.
AI agents call get_last_run to retrieve information from Mcp Observatory 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 get_last_run 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.
{
"version": "1",
"default": "deny",
"tools": {
"get_last_run": {}
}
}See the full Mcp Observatory policy for all 13 tools.
These attack patterns abuse exactly the kind of access get_last_run gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Use this to retrieve the last check results for a server. Finds the most recent run artifact by target ID so you can review previous results or diff against a new run.. It is categorised as a Read tool in the Mcp Observatory MCP Server, which means it retrieves data without modifying state.
Register the Mcp Observatory MCP server in PolicyLayer and add a rule for get_last_run: 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 Mcp Observatory. Nothing to install.
get_last_run 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_last_run 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_last_run. 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_last_run is provided by the Mcp Observatory MCP server (@kryptosai/mcp-observatory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 Mcp Observatory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.