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delimit_daemon_classify

Preview the risk tier and suggested automation tool for a ledger item, showing what the daemon would classify.

Instructions

Classify a ledger item's risk tier and suggested automation tool.

When to use: to preview what the autonomous daemon would do with a given ledger item (or the next automatable one). When NOT to use: to actually run an iteration (use delimit_daemon_run) or check daemon health (delimit_daemon_status).

Sibling contrast: delimit_daemon_status reads health; delimit_daemon_run executes; this previews the classification.

Side effects: read-only. Calls ai.daemon.classify_item / get_next_automatable_item / get_open_ledger_items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idNoSpecific ledger item id to classify. Empty = pick the next automatable item from the open ledger.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It declares read-only side effects and lists underlying API calls, providing good but not exhaustive transparency.

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?

Description is very concise, front-loads purpose, then usage guidelines, sibling contrast, and side effects in a clear, structured format.

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?

Covers purpose, usage, side effects, and sibling differentiation. Output schema exists, so return values need not be explained. Minor gap: does not elaborate on risk tier or tool details, but these are likely in output.

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%, and description repeats similar info about item_id meaning without adding new details beyond what schema already specifies.

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?

Description clearly states verb 'Classify' and resource 'ledger item's risk tier and suggested automation tool'. It explicitly distinguishes from siblings by stating it previews daemon action versus run or status.

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?

Provides explicit when to use (preview classification), when NOT to use (run or check health), and direct alternatives (delimit_daemon_run, delimit_daemon_status).

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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