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MCP Path

Sequence No-Target Strictness

Sequence No-Target Strictness is a public reference for prepared tasks, runs, and closed-loop automation steps. It names the signal, policy, or flow an agent should understand before choosing a concrete tool.

Catalog path

Reference page for a documented MCP capability path.

Type
MCP path
Family
Sequences & Batch
Effect
bounded run
Status
Reference
Path
25.5

Purpose

What this entry explains

What it does

This reference explains Sequence No-Target Strictness for prepared tasks, runs, and closed-loop automation steps. 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 start or monitor the bounded flow "Sequence No-Target Strictness" for prepared tasks, runs, and closed-loop automation steps.
  • 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.

Signal, gate, behavior, boundary

Sequence No-Target Strictness describes a behavior for prepared tasks, runs, and closed-loop automation steps. The path shows which signal, gate, behavior, or boundary must be checked before choosing a concrete tool.

When agents cite it

An agent cites this path when it needs Sequence No-Target Strictness as context for a decision, block, target check, or follow-up tool choice.

Why no callable name

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.

Signals and rule

Relevant response signals: targetId. Safety axes: Automation. The reference path alone is not permission to execute. Before acting, check current MCP discovery, visible target, scope, and the actual response.

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 fieldExplanation
targetIdStable target reference for follow-up MCP tools.

Safety

Boundary before execution

Effect

Starts or observes a bounded run. Scope, limits, progress, and terminal status need to stay visible.

Agent rule

Set scope and limits before starting the run, poll explicit progress or status fields, and stop instead of assuming completion.

Human control

For humans, this entry shows which bounded flow in prepared tasks, runs, and closed-loop automation steps starts or continues, and where scope, progress, and stopping conditions belong.

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.

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.