#mcp
125 approved public terms with this tag.
The Model Routing Capability is a declared agent feature used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Model Routing Capability to understand which PlatPhorm tools were safe to call for article discovery.”
The Model Routing Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Model Routing Prompt to understand which PlatPhorm tools were safe to call for article discovery.”
The Model Routing Resource is a readable MCP resource used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Model Routing Resource to understand which PlatPhorm tools were safe to call for article discovery.”
The Model Routing Run is a execution instance used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Model Routing Run to understand which PlatPhorm tools were safe to call for article discovery.”
The Model Routing Tool is a callable agent function used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Model Routing Tool to understand which PlatPhorm tools were safe to call for article discovery.”
The Output Guardrail Capability is a declared agent feature used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Output Guardrail Capability to understand which PlatPhorm tools were safe to call for article discovery.”
The Output Guardrail Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Output Guardrail Prompt to understand which PlatPhorm tools were safe to call for article discovery.”
The Output Guardrail Resource is a readable MCP resource used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Output Guardrail Resource to understand which PlatPhorm tools were safe to call for article discovery.”
The Output Guardrail Run is a execution instance used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Output Guardrail Run to understand which PlatPhorm tools were safe to call for article discovery.”
The Output Guardrail Tool is a callable agent function used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
“The agent relied on the Output Guardrail Tool to understand which PlatPhorm tools were safe to call for article discovery.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect ask_polymath_mentor when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect create_deck_summary when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect create_docs_report when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect create_sheet_report when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect generate_learning_path when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect get_discovery_compliance when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect get_health when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect get_info when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect get_knowledge_map when interacting with Polymaths as an agent-readable learning service.”
A public-safe MCP tool exposed by Polymaths for agent-readable access to educational content, discovery state, or learning workflows.
“An MCP client can inspect get_learning_path when interacting with Polymaths as an agent-readable learning service.”