set_product_group_config

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the apply path is disabled (a significant operational constraint), but says nothing about the previewToken lifecycle, hash-based precondition failures (expectedDesiredHash/expectedSemanticHash), idempotencyKey behavior, or what the preview returns. Partial coverage for a complex 14-parameter mutation.

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

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

Two tight sentences with no filler, and the core scope constraint leads. It is appropriately sized for a short definition, though the second sentence is cryptic enough that the brevity comes partly at the cost of clarity.

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

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

For a 14-parameter, nested-object mutation tool with no annotations, no output schema, and 0% schema coverage, the description is far too thin. It omits the parameter workflow (preview token -> apply), hash preconditions, idempotency expectations, and return semantics, leaving the agent unable to invoke it correctly beyond a rough guess.

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

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

Schema description coverage is 0% across 14 parameters, so the description must compensate, and it barely does. 'exact-ID' hints at ID-based referencing and 'option/value/variant' loosely maps to the options/optionValues/variants arrays, but previewToken, idempotencyKey, the four expected*Hash fields, and the remove*Id arrays go entirely unexplained.

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

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

The description names a specific verb ('Preview') and resource ('product-group option/value/variant changes'), which distinguishes it from siblings like create_product_group_variants, get_product_group, and set_product_manufacturing_config. It is clear about what the tool touches, though the name ('set_...config') versus the actual preview-only behavior creates slight tension.

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

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

It conveys the key operating condition — 'Apply stays blocked until group nested-write semantics are canary-proven' — which tells the agent this is effectively a dry-run/preview path. However, it never routes the agent to an alternative tool for actually applying changes, nor states prerequisites or when preview is required versus optional.

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