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dxpert-ai

dxpert: Industrial AI Agents for Manufacturing (OEE, Maintenance, Root Cause)

Official

get_runtime_manifest

Check whether a locally installed dxpert runtime is behind and verify artifact hashes before updates by reading public channel version metadata, changelog, and hashes; no downloads or installs.

Instructions

Read the public dxpert runtime update manifest for a channel ("stable" by default): current version, artifact hashes, and changelog. Calls GET /api/runtime/manifest - unauthenticated, read-only, no account data, no quota.

Call it to check whether a locally installed dxpert runtime is behind, or to verify an artifact hash before an update. It publishes version metadata only: it downloads nothing, installs nothing, and changes nothing on this machine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNostable

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations provided, the description carries the full disclosure burden and does so thoroughly: unauthenticated, read-only, no account data, no quota, and the negative-behavior guarantees 'downloads nothing, installs nothing, and changes nothing on this machine.' That is exactly the safety profile an agent needs before calling a runtime/update-adjacent tool.

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

Conciseness4/5

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

Front-loaded with the resource and payload, then the endpoint/auth facts, then the use cases, then the guarantees. Information ordering is excellent, though the safety clauses ('no account data, no quota' / 'downloads nothing, installs nothing, changes nothing') are somewhat redundant across two sentences.

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

Completeness4/5

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

For a single-parameter, no-output-schema, unannotated tool, the description is nearly self-sufficient: it covers auth, side-effect profile, and the shape of the returned data. The one real gap is that valid channel values and their differences are never stated, leaving the only parameter semantically thin.

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

Parameters2/5

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

Schema description coverage is 0% and the single 'channel' parameter is undocumented in the schema. The description only repeats the default ('stable'), which is already visible as a schema default, and never enumerates other valid channel values or explains how channel selection affects the returned manifest.

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 and resource ('Read the public dxpert runtime update manifest for a channel') and immediately enumerates the payload (current version, artifact hashes, changelog). The concrete endpoint reference and the explicit scope ('public', 'unauthenticated') make it unmistakably distinct from siblings like get_storefront or run_agent.

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

Usage Guidelines4/5

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

Gives two concrete trigger conditions: checking whether a local runtime is behind, and verifying an artifact hash before an update. It also implies when not to bother (it is metadata-only). It never names an alternative tool, so it falls short of the 5 bar, but the intended context is clear.

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