run_watch

Manually execute a watch now (useful for testing alert conditions).

Server TalkDB nitin-gupta1109/talkdb
Category Execute
Risk class High
Parameters 00 required

What run_watch does on TalkDB

AI agents invoke run_watch to trigger actions in TalkDB. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why run_watch needs a policy

This tool executes a watch/alert mechanism whose effects depend on the watch's configuration and the underlying data state. While it does not directly delete data or move money, it triggers external operations (alerts, notifications) whose consequences are not immediately reversible and depend on how alerts are configured downstream. This makes it Execute rather than Write or Read.

From the tool's definition Tool 'run_watch' description states it 'Manually execute a watch now', which triggers execution of a scheduled query/alert system.

Questions about run_watch

What does the run_watch tool do? +

Manually execute a watch now (useful for testing alert conditions). It is categorised as a Execute tool in the TalkDB MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_watch? +

Register the TalkDB MCP server in PolicyLayer and add a rule for run_watch: 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 TalkDB. Nothing to install.

What risk level is run_watch? +

run_watch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_watch? +

Yes. Add a rate_limit block to the run_watch 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 run_watch completely? +

Set action: deny in the PolicyLayer policy for run_watch. 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 run_watch? +

run_watch is provided by the TalkDB MCP server (nitin-gupta1109/talkdb). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.