random_compliment
Generate a random compliment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to compliment | You |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| compliment | Yes |
Generate a random compliment.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to compliment | You |
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| compliment | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the burden but only states the basic function. It does not disclose potential repetition or randomness source, but given the simplicity, it is adequate.
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. It is concise but could be slightly more informative without excessive length.
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 tool's simplicity, one optional parameter, and the existence of an output schema, the description is minimally sufficient. However, it omits any behavioral detail.
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 describes the 'name' parameter with a default and description. The tool description adds no extra meaning beyond 'Name to compliment'. Since schema coverage is 100%, the baseline of 3 is appropriate.
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 'Generate a random compliment' clearly states the tool's function and distinguishes it from sibling tools like random_trivia or dad_joke by specifying the output type. However, it does not explicitly differentiate itself from other random generators.
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 random_quote or random_joke. The description lacks context for selection.
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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