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List SKU aliases

list_sku_aliases
Read-onlyIdempotent

Other SKUs (e.g. a supplier's) that point at an item.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "sku": "<sku>"
    },
    "name": "list_sku_aliases"
  }
}

Input Schema

NameRequiredDescriptionDefault
skuYesThe item's SKU.
project_idNoWorkspace to work in (from list_projects). Leave out for the default one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description contributes nothing behavioral beyond that — no statement about scope (all aliases vs. one page), whether the parent SKU is included in results, or how the default workspace affects results.

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

Conciseness3/5

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

A single short sentence with no padding, but it is a descriptive fragment rather than a front-loaded statement of purpose, and its brevity comes at the cost of nearly all operational detail.

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

Completeness3/5

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

For a two-parameter read-only lookup with full schema coverage and safety annotations, the minimum is nearly met. Still missing is any routing signal against sibling inventory tools and any indication of what the returned SKU list looks like, which matters since there is no output schema.

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 both the sku and project_id parameters are fully documented in the schema, including the 'from list_projects' hint and the default-workspace fallback. The description only obliquely reinforces that sku identifies the item; baseline 3 applies.

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

Purpose3/5

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

The description is a noun phrase that explains the concept of an alias ('Other SKUs (e.g. a supplier's) that point at an item') rather than stating the action. It adds real meaning beyond the bare name by clarifying directionality (aliases point at the item), but an agent must rely on the title/name to know this is a retrieval operation.

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?

There is no guidance on when to call this versus get_inventory_item or list_inventory, both of which also concern items. No prerequisites, no exclusions, no mention of what to do when an item has no aliases.

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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