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MCP Tool

nova.tab_transfer

For prepared tasks, runs, and closed-loop automation steps, an agent uses this public tool to check the state or evidence for "Tab-Transfer". It explains which current signal can be used as evidence and when a follow-up step needs a fresh target check.

Agent tool

Canonical reference for a public MCP tool name.

Type
MCP tool
Family
Sequences & Batch
Effect
read-only
Status
Explained
Path
25.3

Purpose

What this entry explains

What it does

nova.tab_transfer An agent uses this tool to check the state or evidence for "Tab-Transfer". It belongs to prepared tasks, runs, and closed-loop automation steps; agents should combine it with current discovery, target awareness, and the visible result.

Use when

  • Use this entry when an agent needs to check the state or evidence for "Tab-Transfer" for prepared tasks, runs, and closed-loop automation steps.
  • Use it to understand the public tool name, its expected boundary, and the response signals to check.
  • Use it before chaining follow-up tools so the next step is based on current evidence.

Reference Use

How agents should cite and apply this area

Examples are maintained at family level and use only public tool names or reference paths already present in the catalog.

Family example

An agent prepares a bounded run in prepared tasks, runs, and closed-loop automation steps and must keep scope, progress, and stop condition visible.

The agent starts with nova.run_sequence, reads the current response or reference, and only then chooses the concrete next tool.

Scope, budget, progress, stop condition, and terminal status remain part of the run.

Contract

Inputs and important response fields

This page is a public reference. Agents and integrators should still read current MCP tool discovery before execution, because schemas can be gated by settings or version.

Inputs

No stable public input field is derived from the catalog source for this path. Read current MCP discovery before execution.

Response fields

No fixed public response field is derived from the catalog source for this path. Use current tool discovery and the actual response before chaining the next step.

Safety

Boundary before execution

Effect

Reads current state or evidence. It should not be treated as permission to act without a fresh next-step check.

Agent rule

Use the response as current evidence, then choose a more specific next tool only after target, scope, and freshness are clear.

Human control

For humans, this entry explains what an agent reads in prepared tasks, runs, and closed-loop automation steps and which current signal should be checked before trusting the result.

High-Impact Review

Execution boundary and recheck hints

Review category: Scheduler/tasks/automation

Execution boundary

Runs need scope, budget, progress, stop condition, and reviewable terminal status before they start or continue.

Typical false assumption

False assumption: once started, a run may continue until success.

Visible user control

Task, schedule, variables, workspace, and run status must remain reviewable by the user.

Agent rule

Bound automations, poll progress, check terminal status, and avoid chaining when results are unclear.

Abort or recheck

Abort or recheck when budget, target set, run ID, workspace, or result status becomes unclear.

Safety Axes

How this path can affect work

Axes are stable catalog signals for humans, agents, and LLM discovery. One path can carry several axes.

Read current state read_current_state

Reads current state, response signals, or evidence without treating that alone as permission for a follow-up action.

Use the signal as current evidence and re-check target, scope, and visible state before any follow-up action.
Browser state browser_state_change

Changes tab, navigation, focus, claim, scroll position, window state, or browser environment.

Confirm the target context visibly before execution and verify that the expected browser state was reached afterwards.
Automation automation_run

Starts or monitors crawls, sequences, schedulers, tasks, batches, or longer runs.

Keep scope, budget, progress, stop condition, and terminal status visible before and during the run.