products_get_top_campaigns
Read top campaigns by spend
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| product_ref | No | ||
| product_name | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Read top campaigns by spend
| Name | Required | Description | Default |
|---|---|---|---|
| product_ref | No | ||
| product_name | No |
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | ||
| retryable | No | ||
| support_ref | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already indicate readOnlyHint true and destructiveHint false, so the core safety behavior is known. The description adds little beyond 'read', but it does not contradict the annotations.
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?
The description is brief and to the point, containing no unnecessary words or redundancy. It is well-structured for quick comprehension.
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?
The description lacks information about the output format, return value, or how the results relate to the broader workflow. Given that output schema exists but is not described, the context is incomplete for a new agent.
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 schema has two string parameters (product_ref and product_name) with no descriptions, and the tool description offers no explanation of these parameters. This is a critical gap for an agent to invoke the tool correctly.
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 the action (read) and resource (top campaigns by spend), which distinguishes it from many sibling tools. However, it does not specify what constitutes 'top' or what data is returned, so it lacks some precision.
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?
The description provides no guidance on when to use this tool versus alternatives such as campaigns_quick_create or insights_get_date_range. No conditions or use cases are mentioned.
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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