get_manual_run

Get the full details of one manual test run: name, status, environment, linked release, test stats (total/passed/failed/blocked/untested), contributors, attachments, linked issues. runId accepts either the internal _id or a counter-style ID like

Server Testdino testdino-mcp
Category Read
Risk class Low
Parameters 00 required

What get_manual_run does on Testdino

AI agents call get_manual_run to retrieve information from Testdino without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_manual_run needs a policy

Even though get_manual_run only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_manual_run

What does the get_manual_run tool do? +

Get the full details of one manual test run: name, status, environment, linked release, test stats (total/passed/failed/blocked/untested), contributors, attachments, linked issues. runId accepts either the internal _id or a counter-style ID like. It is categorised as a Read tool in the Testdino MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_manual_run? +

Register the Testdino MCP server in PolicyLayer and add a rule for get_manual_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 Testdino. Nothing to install.

What risk level is get_manual_run? +

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

Can I rate-limit get_manual_run? +

Yes. Add a rate_limit block to the get_manual_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.

How do I block get_manual_run completely? +

Set action: deny in the PolicyLayer policy for get_manual_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.

What MCP server provides get_manual_run? +

get_manual_run is provided by the Testdino MCP server (testdino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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