Find agent skills by outcome

return {id: data[id]

name: data[name]}

async def get_user(user_id: str) -> Dict[str

Any]:

from typing import Optional

List

if isinstance(e

httpx.HTTPStatusError):

Coding & Debugging

async def _make_api_request(endpoint: str

method: str = GET

elif isinstance(e

httpx.TimeoutException):

Coding & Debugging

data = await api_request(limit=params.limit

offset=params.offset)

return json.dumps(response

indent=2)

Provide clear

actionable error messages:

Data

- Return complete

structured data suitable for programmatic processing

offset: Optional[int] = Field(default=0

description=Number of results to skip for pagination

limit: Optional[int] = Field(default=20

description=Maximum results to return

Data

- Omit verbose metadata (e.g.

show only one profile image URL

- Show display names with IDs in parentheses (e.g.

@john.doe (U123456))

- Convert timestamps to human-readable format (e.g.

2024-01-15 10:30:00 UTC instead of epoch)

query: str = Field(...

description=Search query)

- Use headers

lists

class ResponseFormat(str

Enum):

age: int = Field(...

description=User's age

idempotentHint: True

# Repeated calls have no additional effect

from pydantic import BaseModel

Field

name: str = Field(...

description=User's full name

tags: Optional[List[str]] = Field(default_factory=list

description=List of tags to apply

destructiveHint: False

# Tool does not perform destructive operations