MCP Path
Semantic Learning Login-Wall
Semantic Learning Login-Wall is a public reference for knowledge signals, learning candidates, and explainable orientation. It names the signal, policy, or flow an agent should understand before choosing a concrete tool.
Reference page for a documented MCP capability path.
- Type
- MCP path
- Family
- Learning & Knowledge Evolution
- Effect
- sensitive
- Status
- Reference
- Path
- 11.8
Purpose
What this entry explains
What it does
This reference explains Semantic Learning Login-Wall for knowledge signals, learning candidates, and explainable orientation. It is kept as a named reference so agents can cite the flow without inventing a tool name.
Use when
- Use this entry when an agent needs to handle the sensitive path "Semantic Learning Login-Wall" for knowledge signals, learning candidates, and explainable orientation.
- Use it as a reference path when the catalog describes a capability but no single public tool name is explicit.
- 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.
Semantic Learning Login-Wall describes a gate for knowledge signals, learning candidates, and explainable orientation. The path shows which signal, gate, behavior, or boundary must be checked before choosing a concrete tool.
An agent cites this path when it needs Semantic Learning Login-Wall as context for a decision, block, target check, or follow-up tool choice.
The public source does not name one callable tool for this path. The documentation therefore keeps it as a reference path and does not invent a callable name.
Relevant response signals: valueSource. Safety axes: Sensitive, User confirmation. The reference path alone is not permission to execute. Before acting, check current MCP discovery, visible target, scope, and the actual response.
Family example
A task touches data, identity, or permissions in knowledge signals, learning candidates, and explainable orientation that may be used only with clear purpose.
The agent starts with nova.learn_suggest, reads the current response or reference, and only then chooses the concrete next tool.
Sensitive values stay in current scope; they are not guessed, logged, or copied into other contexts.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 field | Explanation |
|---|---|
valueSource | Response field named by the catalog source. Treat it as current evidence for the next decision. |
Safety
Boundary before execution
May touch sensitive data, permissions, credentials, identity, or external connection paths. Use only with explicit scope and visible user control.
Treat stored knowledge as guidance only. Before any action, confirm the current page, target, scope, and visible evidence again.
For humans, this entry marks the sensitive surface in knowledge signals, learning candidates, and explainable orientation and keeps permission, credential, or external-connection handling explicit.
High-Impact Review
Execution boundary and recheck hints
Review category: Auto-apply/mutating flows
Mutating steps may run only with confirmed target, expected effect, user control, and result check.
False assumption: a guard or auto-apply signal replaces current target and result checks.
The user must be able to review action, target, approval, block signal, and visible result.
Execute only the intended step, then verify state and stop on warning, block, or target change.
Recheck if candidate budget, gate, visible state, or expected effect do not line up.
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.
sensitive_data
Touches cookies, storage, clipboard, credentials, tokens, user content, identity, or private data.
Use only with bounded purpose and visible user control; do not guess, log, or forward sensitive values.user_confirmation
Requires visible confirmation, target review, approval, or deliberate user control.
Do not proceed until the required confirmation is visible or unambiguous in the current context.