Factory overview
get_factory_overviewWho HLN Apparel is: founding year, quality standard, audits, shipping terms, scale and key page links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Answer language: en, es or fr | en |
get_factory_overviewWho HLN Apparel is: founding year, quality standard, audits, shipping terms, scale and key page links.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Answer language: en, es or fr | en |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the useful fact that the payload is a fixed informational profile rather than a live query, but says nothing about caching, freshness, or response shape.
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?
A single tight clause with the subject front-loaded and zero filler. It is a noun-phrase fragment rather than a sentence, but it communicates scope efficiently.
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?
With no output schema, the description carries the burden of describing returns, and it does so by enumerating the profile sections. It omits the language parameter's effect on output, which is the only notable gap for such a simple read-only tool.
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 coverage is 100% and the single language parameter is fully documented with an enum in the schema, so the baseline of 3 applies. The description adds no information about language behavior (e.g., whether content is translated or only the wrapper).
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 resource (HLN Apparel company profile) and enumerates the exact content it covers (founding year, quality standard, audits, shipping terms, scale, page links). It is clearly distinguishable from every sibling, none of which deal with company background, though the retrieval verb itself is only implied by the tool name.
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?
Usage is only implied: an agent can infer this is for company-background questions, but there is no explicit statement of when to call it, no prerequisites, and no reference to alternatives (e.g., vs. list_product_categories for catalog data).
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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