get_kanye_quote
[COST: ] Get a random Kanye West quote
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
[COST: ] Get a random Kanye West quote
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
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. 'Get' implies a read-only retrieval and 'random...quote' describes the result, but there is no explicit statement about side effects, network dependency, or the absence of changes. The core behavior is reasonably inferred, yet the description adds no distinct transparency value beyond the name.
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 short sentence with the core action and resource upfront. The empty '[COST: ]' prefix is minor noise, but the overall wording is efficient and free of rambling.
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 tool with an output schema, the description tells an agent exactly what to expect: a random Kanye West quote. It does not mention how to choose among sibling quote tools, but that gap is already reflected in usage_guidelines; invoking the tool itself is fully sufficiently documented.
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 input schema contains zero properties, so there are no parameters to document. The description does supply a useful semantic, that the result is random, and a zero-parameter tool needs no further parameter-level detail.
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 uses a specific verb 'Get' and resource 'random Kanye West quote', making the tool's purpose unambiguous. It also distinguishes itself from sister quote tools like get_trump_quote and get_anime_quote by naming the exact celebrity.
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?
There is no guidance about when to choose this tool over sibling quote tools such as get_random_quote or get_trump_quote. No conditions, exclusions, or alternative tool pointers are provided; this is a clear absence of usage guidance rather than misleading advice.
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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