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AutoID Product Catalog & Support

Search AutoID technical support

search_support

Search the official AutoID Support Center for a model, manual, driver, firmware, software, troubleshooting article, video or other verified technical resource. The search layer is intent-aware: model-wide and resource-type matches are merged and ranked so requested resource types outrank generic resources. Use this before fetch_support and fetch every resource you rely on. Search results are read-only first-party AutoID support records and manufacturer resources; do not infer a firmware version or procedure from a title alone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSupport search text, model, SKU, problem or resource type; for example MC9300 firmware or ZT610 driver.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: results are read-only first-party AutoID records, the search layer is intent-aware and re-ranks resource-type matches, and agents should not infer firmware versions or procedures from titles. It omits result count, pagination, and any auth or rate-limit context, so it is not exhaustive.

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?

Four sentences, front-loaded with the action and scope, then workflow ordering, then a caution. Every sentence contributes something, though the ranking-mechanics sentence is somewhat inside-baseball and could be trimmed.

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 search tool with no annotations and no output schema, this covers purpose, workflow position, result provenance, and a reliability caveat. The main residual gap is that nothing describes the shape or volume of returned results, which the description would otherwise need to carry.

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%, so the single 'query' parameter is already documented with examples (MC9300 firmware, ZT610 driver) and length bounds. The description adds only the notion that model-wide and resource-type matches are merged and ranked, which is marginal added meaning.

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 ('Search the official AutoID Support Center') and enumerates the resource types it covers (model, manual, driver, firmware, software, troubleshooting article, video). The support-resource scope cleanly separates it from sibling search_products, and it names fetch_support as the downstream step.

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 explicit sequencing guidance: 'Use this before fetch_support and fetch every resource you rely on.' It tells the agent where this fits in the workflow but offers no exclusions or conditions under which a different sibling (e.g., search_products) would be preferred.

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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