DE EN
Back to MCP catalog

MCP Tool

nova.learn_resolve_opportunity

For agent warnings, blocks, and current approval signals, an agent uses this public tool to carry out the bounded step "Semantic Learning Strict Gate". It separates target confirmation, intended state change, and verification after execution.

Agent tool

Canonical reference for a public MCP tool name.

Type
MCP tool
Family
AAG (Agent Awareness Gates)
Effect
changes state
Status
Explained
Path
14.6

Purpose

What this entry explains

What it does

nova.learn_resolve_opportunity An agent uses this tool to carry out the bounded step "Semantic Learning Strict Gate". It belongs to agent warnings, blocks, and current approval signals; agents should combine it with current discovery, target awareness, and the visible result.

Use when

  • Use this entry when an agent needs to carry out the bounded step "Semantic Learning Strict Gate" for agent warnings, blocks, and current approval signals.
  • 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 agent warnings, blocks, and current approval signals and must keep scope, progress, and stop condition visible.

The agent starts with nova.learn_resolve_opportunity, 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

Can change browser, page, or workflow state. The target and expected result must be clear before execution.

Agent rule

Confirm the current target first, perform only the intended bounded action, and verify the resulting page or workflow state afterwards.

Human control

For humans, this entry names the browser or workflow state in agent warnings, blocks, and current approval signals that may change, so the action can be reviewed before and after execution.

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.

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.