get_conversion
Retrieve conversion details by ID to track referral performance and manage affiliate program data.
Instructions
Get details for a specific conversion by its ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Conversion ID |
Retrieve conversion details by ID to track referral performance and manage affiliate program data.
Get details for a specific conversion by its ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Conversion ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a read operation ('Get details'), but doesn't disclose permissions, error handling, rate limits, or response format. For a tool with zero annotation coverage, this is inadequate transparency.
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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the core purpose effectively.
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?
Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'details' include, error conditions, or behavioral traits like idempotency. For a tool with no structured metadata, the description should provide more context to compensate.
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 description coverage is 100%, with the single parameter 'id' documented as 'Conversion ID'. The description adds no additional meaning beyond this, such as ID format or sourcing. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.
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 ('Get details') and resource ('specific conversion by its ID'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_conversions' or 'get_affiliate_details', which would require mentioning it retrieves individual records rather than collections.
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. It doesn't mention siblings like 'list_conversions' for browsing multiple conversions or 'get_affiliate_details' for related data, leaving the agent to infer usage from naming conventions alone.
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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