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

Annotations already declare readOnlyHint=true, so the bar is lower. The description adds useful context beyond that: it is a pure configuration read exposing ids, that the response is metadata-oriented, and that it is safe to call first. It doesn't mention response size or caching, but nothing is misleading.

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?

Three short sentences, front-loaded with the payload contents and followed by the practical recommendation and endpoint. Every sentence earns its place with no repetition of the title.

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 telling the agent what comes back, and it does so by enumerating the returned entities and noting they include ids. Only minor gaps remain, such as not indicating whether the response is large or nested.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline applies. The description correctly conveys that the call is parameterless and self-contained.

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?

States a specific verb ('Get') and resource ('panel configuration') and then enumerates exactly what is returned: owner company data, languages, base currency, warehouses and shops with ids. No sibling tool overlaps with configuration retrieval, and the endpoint reference anchors it further.

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?

Explicitly recommends itself as a first call for learning shop ids and warehouse ids, which tells the agent when it is the right starting point. It stops short of naming a when-not condition or pointing at a follow-up sibling, but the tool is a bootstrap call so the guidance is practically sufficient.

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