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list_aoc_ticks

Retrieve a list of cognitive-loop ticks from the AutoCompany agent, with optional run ID filter and limit to track agent behavior.

Instructions

List AutoCompany cognitive-loop ticks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states 'list', implying read-only, but gives no details on what is listed (e.g., fields, ordering, pagination) or any side effects. Critical behavioral context is missing.

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?

A single, front-loaded sentence conveys the core purpose without waste. Every word earns its place.

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

Completeness3/5

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

An output schema exists but is not described in the description. For a list tool, missing return value details is a notable gap, though the description is functional for basic usage. Slightly more context about the output would improve completeness.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description adds no meaning for parameters run_id (likely filters by run) and limit (page size). Without explanation, the agent must infer their roles from default values alone.

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 'List AutoCompany cognitive-loop ticks', specifying the verb (List) and the resource (ticks). It distinguishes from sibling tools like list_aoc_runs, get_aoc_tick, etc., making the purpose unambiguous.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context for usage, or exclusions. The description is purely declarative.

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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