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storyline_list

List a brand's storylines (marketing plans) with selectable detail: short gives id, title, status; medium adds key fields; full returns raw data.

Instructions

List the brand's storylines (marketing plans). short detail {id,title,status}; medium adds isLive, dates, promptSummary; full = raw.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNoVerbosity of returned item(s): "short" = id + primary label + status (cheap list scan); "medium" = key summary fields + counts (a useful glance); "full" = the complete object. Default "short". Lists default to "short" — to zoom into one item, call its get/view tool with detail="medium" or "full".short
brandIdNoBrand ID (defaults to active brand)
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses output verbosity levels and field composition, and the act of listing implies read-only behavior. However, it does not mention pagination, ordering, or precisely define what 'raw' means for full detail.

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 main description is two concise sentences that front-load the purpose and use compact field notation. The schema carries necessary additional detail without unnecessary repetition, making the whole definition efficient.

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?

For a list tool with two optional parameters and no output schema, the description adequately conveys scope and return shapes for three verbosity levels. It does not explicitly state whether the response is an array or a single object, nor mention pagination, but the tool name and sibling guidance cover enough for correct invocation.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value beyond the schema by specifying exactly which fields are included at each detail level ('id,title,status' vs 'isLive, dates, promptSummary'), while the schema itself documents defaults and brandId behavior.

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 uses a specific verb and resource: 'List the brand's storylines (marketing plans)'. It clearly differentiates this listing operation from sibling tools like storyline_create, storyline_get, and storyline_delete.

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?

The schema's detail parameter explicitly instructs that lists default to 'short' and that to zoom into one item, the agent should call its get/view tool with detail='medium' or 'full'. This provides direct when-to-use vs. alternative guidance, going beyond generic context.

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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