list_appeals
Retrieve all appeals from the Little Green Light CRM database.
Instructions
List all appeals
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all appeals from the Little Green Light CRM database.
List all appeals
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations specify readOnlyHint=true and openWorldHint=true, adequately covering safety and scope. The description adds no additional behavioral context beyond 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 a single sentence, front-loaded, with no filler. Every word 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?
While minimal, for a simple list operation with no parameters, the description is adequate. However, it lacks context about what an 'appeal' is and what fields the response contains, which could be useful for agent understanding.
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?
There are zero parameters, so by the scoring rules baseline is 4. The description adds no parameter information, but none is needed.
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 'List all appeals' uses a specific verb 'List' and a clear resource 'appeals'. It is unambiguous and distinguishes from sibling tools like 'list_appeal_requests'.
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. With many sibling tools (e.g., create_appeal, get_appeal), explicit usage context is missing.
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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