util_deployment_readiness
Check tests, rollback, observability, ownership, and security review before deploy.
This record as markdown: /tools/io-github-davidmosiah-delx-mcp-a2a/util-deployment-readiness.md
What util_deployment_readiness does on Delx Mcp A2a
AI agents invoke util_deployment_readiness to trigger actions in Delx Mcp A2a. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
checks | object | Yes | Input field: checks. |
Parameters from the server's own tool schema.
Why util_deployment_readiness is rated High
util_deployment_readiness triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs util_deployment_readiness safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Mcp A2a, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For util_deployment_readiness, this is the rule to start with:
util_deployment_readiness stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx Mcp A2a, apply this rule, and every util_deployment_readiness call is checked against it from then on.
Questions about util_deployment_readiness
Check tests, rollback, observability, ownership, and security review before deploy. It is categorised as a Execute tool in the Delx Mcp A2a MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
util_deployment_readiness accepts 1 parameter: checks. Required: checks. The full parameter table on this page comes from the server's own tool schema.
Register the Delx Mcp A2a MCP server in PolicyLayer and add a rule for util_deployment_readiness: 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 Delx Mcp A2a. Nothing to install.
util_deployment_readiness is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the util_deployment_readiness 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 util_deployment_readiness. 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.
util_deployment_readiness is provided by the Delx Mcp A2a MCP server (https://api.delx.ai/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Delx Mcp A2a, and thousands of servers like it.
Across the catalogue