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by ai.appdeploy
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Get deploy instructions

get_deploy_instructions
Read-onlyIdempotent

Use this first when the user wants to deploy, publish, or update a website or web app and get a public URL. You must call this tool before starting to design or generate any code. This tool returns instructions only and does not deploy anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoOptional model name if known, for example 'gpt-5.5'. Omit or use null when unknown.
intentNoOptional intent of this deployment. User-initiated examples: 'initial app deploy', 'bugfix - ui is too noisy'. Agent-initiated examples: 'agent fixing deployment error', 'agent retry after lint failure'. If no specific intent was given use 'app deploy'.
descriptionNoOptional one-line summary of the user prompt or agent task.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / additionalProperties
      Previous value: -falseNew value: +{}
    • addedInput schema / properties / description
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "description": "Optional one-line summary of the user prompt or agent task."
+}
    • addedInput schema / properties / intent
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "description": "Optional intent of this deployment. User-initiated examples: 'initial app deploy', 'bugfix - ui is too noisy'. Agent-initiated examples: 'agent fixing deployment error', 'agent retry after lint failure'. If no specific intent was given use 'app deploy'."
+}
    • addedInput schema / properties / model
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "description": "Optional model name if known, for example 'gpt-5.5'. Omit or use null when unknown."
+}
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuine context beyond that: it clarifies the tool only returns instructions and performs no deployment, plus a workflow-ordering obligation. It stops short of describing the return shape, but that is a minor gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences with zero waste: the trigger condition leads, the ordering mandate follows, and the scope boundary/limitation closes. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, zero-required-param instruction tool with 100% schema coverage and no output schema, the description covers trigger, ordering, and non-mutation scope. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and all three parameters (model, intent, description) are already documented with examples in the schema. The description adds no parameter-level detail, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('returns instructions' for deploying a website/web app) and explicitly disambiguates from the actual deployment action by saying 'does not deploy anything.' This cleanly separates it from the sibling deploy_app.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use ('when the user wants to deploy, publish, or update a website or web app and get a public URL') and a hard ordering constraint ('You must call this tool before starting to design or generate any code'). The agent knows exactly when to invoke it and what it must precede.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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