#human-approval

The Human Approval 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 Human Approval 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 Human Approval 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 Human Approval 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 Human Approval 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.

Inference Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for model execution for user or system requests. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

MCP Checklist Run Card is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a run card that moves a task between people, agents, and tools without losing the reason for the work, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

MCP Seatbelt Context Budget is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a context budget that keeps agent actions readable, bounded, and easy to audit, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Memory Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for persistent or session-level AI state. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

Model Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for foundation model behavior and serving. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

Monitor Homework Context Budget is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a context budget that moves a task between people, agents, and tools without losing the reason for the work, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Prompt Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for instructions and context passed to a model. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

RAG Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for retrieval-augmented generation pipelines. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

Routing Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for selection among models, tools, and workflows. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.

Sandbox Lunchbox Tool Receipt is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a tool receipt that moves a task between people, agents, and tools without losing the reason for the work, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Sandbox Receipt Prompt Fence is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a prompt fence that keeps agent actions readable, bounded, and easy to audit, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Sandbox Seatbelt Context Budget is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a context budget that shows which step is public-safe and which step needs PLATPHORM_API_KEY, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Sandbox Snack Pack Handoff Packet is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a handoff packet that keeps agent actions readable, bounded, and easy to audit, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Sheets Cafeteria Tool Receipt is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a tool receipt that keeps agent actions readable, bounded, and easy to audit, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.

Sheets Menu Safety Pause is a agentic workflows vernacular term for human approval work in a policy-driven service network. It describes a safety pause that shows which step is public-safe and which step needs PLATPHORM_API_KEY, using source labels, trace links, route evidence, and public/protected boundaries that an operator or agent can follow.