List departments
list_departmentsThe departments (appliance types) we sell, with the number of products in each.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_departmentsThe departments (appliance types) we sell, with the number of products in each.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered by structured data. The description adds one genuinely useful behavioral fact — that results are aggregated with product counts — but says nothing about ordering, pagination, or whether empty departments are included.
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 short sentence with the key disambiguation and the return payload front-loaded. Every clause earns its place and there is nothing to trim.
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 zero-parameter, read-only listing tool with no output schema, the description supplies the essential fact an agent needs — what each result contains. Ordering and result-size expectations are the only missing pieces, which is a minor gap at this complexity.
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 no parameters and the schema coverage is 100%, so the baseline is 4. Nothing in the description is needed to explain inputs, and it correctly does not invent any.
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 states the resource ('departments') and disambiguates it with a parenthetical synonym ('appliance types'), plus what each entry carries ('number of products in each'). It is clear what the tool returns, though it phrases the action as a noun rather than a verb and does not explicitly contrast itself with the nearby list_brands sibling.
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?
There is no statement of when to call this versus alternatives such as list_brands or search_products, and no mention of prerequisites or typical follow-up. The 'browse the catalogue' use case is only implied by the return-content phrase.
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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