此 MCP 可以做什么
Orders supplied candidates by contextual coherence and generates deterministic text representations for comparison or indexing.
工具
输入模式
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['query', 'candidates'], 'properties': {'query': {'type': 'string', 'description': 'Current state, context, intent, question, or perspective to measure against the candidate field.'}, 'top_k': {'type': 'integer', 'maximum': 9007199254740991, 'minimum': 1, 'description': 'Optional maximum number of highest-ranked candidates to return.'}, 'candidates': {'type': 'array', 'items': {'type': 'string'}, 'minItems': 1, 'description': 'Finite caller-supplied candidate field to order. ARBITER measures these candidates and does not generate them.'}}}
输入模式
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'required': ['texts'], 'properties': {'texts': {'type': 'array', 'items': {'type': 'string'}, 'minItems': 1, 'description': 'One or more supplied text values to convert into deterministic persistent machine representations.'}}}
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