eBay categories
run_ebay_categoryGet the full eBay browse category tree: every department, category, and subcategory. Flat 5 points per successful run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
run_ebay_categoryGet the full eBay browse category tree: every department, category, and subcategory. Flat 5 points per successful run.
| 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, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context not present in the annotations: the fixed billing model ('Flat 5 points per successful run') and the shape of the returned data. It omits any mention of result size, pagination, or response format, but with safety fully covered by annotations this is a solid contribution.
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 short sentences, zero filler: the capability and the scope come first, the cost disclosure second. Every sentence earns its place.
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 parameterless tool with no output schema, the description adequately covers what the tool does, what the result contains, and what it costs. It could say more about the response structure (flat list vs. nested hierarchy) and volume, which is the remaining gap given no output schema exists.
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 per the rubric the baseline is 4 and there is nothing a parameter description could add. No misleading parameter claims are made.
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 a specific verb and resource — 'Get the full eBay browse category tree' — and enumerates the scope ('every department, category, and subcategory'), so an agent can immediately tell this is a taxonomy-lookup tool rather than an item/product tool like run_ebay_item_search. It does not explicitly name or differentiate against any sibling, which is the only thing keeping it from a 5.
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 a reference lookup for resolving eBay category IDs before calling item-search siblings, but the description never states when to use it, when not to, or which alternative it substitutes for. For a zero-parameter discovery tool this is acceptable but not instructive.
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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