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AXIOVEX

Manufacturing Inference Advisor MCP

by AXIOVEX

generate_deployment_plan_tool

Read-onlyIdempotent

Create a staged rollout plan with verification, approval, and rollback steps for AI inference deployment.

Instructions

Produce a staged deployment, verification, approval and rollback plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds useful context about the plan's content (staged, verification, approval, rollback) but does not disclose additional behavioral traits such as side effects, output handling, or dependencies beyond what annotations already establish. No contradiction exists.

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?

A single, dense sentence that front-loads the primary action and deliverable. It contains no filler or repetition, and every word adds meaning. This is an example of efficient description writing.

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

Completeness2/5

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

The tool has one required parameter with no description, no usage context, and no guidance on input structure. Although an output schema exists, it is not shown, and the description does not cover input requirements or how the tool fits into the workflow with its many siblings. Significant information is missing for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not even mention the required 'project' parameter. The parameter is an open-ended object with additionalProperties=true and no field descriptions, leaving the agent with no information about what properties are needed or expected. This is a critical gap.

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?

The description uses a specific verb ('Produce') and names a concrete deliverable ('staged deployment, verification, approval and rollback plan'), which clearly distinguishes this from sibling tools like hardware spec, BOM, or architecture generation. An agent can immediately tell what the tool outputs.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. There is no mention of prerequisites, sequencing relative to sibling tools, or scenarios where this tool should be skipped in favor of another. The context is left entirely to inference.

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