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delimit_daemon_run

Advance the autonomous daemon loop by a specified number of iterations. Use for testing or scheduled execution.

Instructions

Advance the autonomous daemon by N iterations (Pro).

When to use: to manually advance the daemon loop one or more iterations, e.g. for testing or scheduled cron-style execution. When NOT to use: for inspection only (use delimit_daemon_status) or to classify an item (delimit_daemon_classify).

Sibling contrast: delimit_daemon_status reads; delimit_daemon_classify decides; this drives the loop.

Side effects: in dry_run mode, logs actions without executing them. In live mode, executes the daemon's automatable actions. Calls ai.daemon.run_loop with a 5-second interval between iterations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iterationsNoNumber of iterations. 0 = infinite. Default 1.
dry_runNoIf True (default), log actions but do not execute.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears the burden. It describes side effects: dry_run vs live mode, the internal call to ai.daemon.run_loop, and the 5-second interval. This is good but could mention permissions or the nature of 'automatable actions'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and effectively front-loaded. Each sentence provides essential information without redundancy. Three short paragraphs and a bullet-like list cover purpose, usage, and side effects efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With two simple parameters and an output schema, the description covers purpose, usage, differentiation, and side effects. It mentions the 5-second interval, which is valuable. Minor gaps: no mention of error cases or permission requirements, but overall sufficient for agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline 3 applies. The description does not add significant new information about parameters beyond what the schema already provides (defaults, infinite loop). It mentions dry_run in side effects but doesn't enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Advance the autonomous daemon by N iterations (Pro).' It specifies the verb and resource, and distinguishes from siblings (delimit_daemon_status, delimit_daemon_classify).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use (testing, cron-style execution) and when not to use (inspection, classification), with direct references to alternative tools. Sibling contrast is clearly explained.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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