Sales Stats
neuron_sales_statsTotal paid sales count and net revenue (kobo) for this seller.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
neuron_sales_statsTotal paid sales count and net revenue (kobo) for this seller.
| 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 establish that the tool is read-only, idempotent, and non-destructive, so the description does not need to repeat that. It adds some useful context by specifying 'paid sales' and the kobo currency, but it does not clarify scope details such as time period or whether refunds affect the figures.
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, front-loaded sentence conveys the purpose and output without filler. Every word adds meaning.
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 tool, the description adequately covers what the agent should expect in return: sales count and net revenue in kobo. The only minor gaps are the lack of a time period and the exact meaning of 'this seller,' but the low complexity makes the description sufficient.
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 has zero parameters and the schema coverage is effectively complete, so there are no parameter semantics left to explain. Nothing in the description is needed to clarify inputs.
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 clearly states what the tool reports: total paid sales count and net revenue in kobo for the seller. It is specific about the resource and output, though it lacks an explicit verb like 'get' and does not differentiate itself from related analytics tools.
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?
No guidance is provided about when to use this tool versus alternatives such as neuron_lead_stats or neuron_seller_status. The description implies a simple stats lookup but offers no exclusions or alternative routing.
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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