delete_coupon_rate
Remove a coupon rate from your Sharesight portfolio to update investment tracking and dividend management.
Instructions
Deletes a coupon rate
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The coupon rate ID to delete |
Remove a coupon rate from your Sharesight portfolio to update investment tracking and dividend management.
Deletes a coupon rate
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The coupon rate ID to delete |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the destructive action ('deletes') but doesn't mention whether this is permanent, requires specific permissions, has side effects, or what happens on success/failure. This is inadequate for a mutation tool with zero annotation coverage.
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 with zero wasted words. It's front-loaded with the core action and resource, making it immediately scannable and appropriately sized for the tool's complexity.
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 destructive mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'deletes' entails (e.g., permanence, side effects), what the return value might be, or how to handle errors, leaving critical gaps for an AI agent to operate safely.
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?
Schema description coverage is 100%, so the input schema fully documents the single parameter 'id'. The description adds no additional parameter semantics beyond what's in the schema, resulting in the baseline score of 3 for adequate but not enhanced coverage.
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 ('deletes') and resource ('a coupon rate'), making the purpose immediately understandable. It distinguishes from siblings like 'delete_coupon_code' by specifying the resource type, though it doesn't explicitly contrast with 'update_coupon_rate' or 'list_coupon_rates'.
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 on when to use this tool versus alternatives like 'update_coupon_rate' or 'list_coupon_rates'. The description lacks context about prerequisites (e.g., needing an existing coupon rate ID) or consequences, leaving the agent to infer usage from the tool name 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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