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Get seasonal shoot guide

get_seasonal_guide
Read-only

Retail shoot calendar for fashion sellers (no account needed): which shoot windows (Labor Day, Halloween, Fall/Winter drop, Black Friday, Holiday) are open or urgent right now, deadlines, and links to per-category shoot guides with recommended shots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional: limit guide links to one category

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoMachine-readable error code (only present on failures)
todayNoCurrent date (ISO 8601)
eventsNoShoot windows with event, name, peak, shoot_deadline, window_open, state (open|urgent|closed|upcoming), days_to_deadline, note, and guide links
messageNoHuman-readable explanation of the failure
how_to_actNoHow to use the open windows

TDQS

A4.3/5.0
Behavior4/5

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

Beyond readOnlyHint, the description adds useful context: no account required, and that statuses are 'right now' (time-sensitive). This gives behavior insight beyond annotations. No contradictions.

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 a single, information-dense sentence that front-loads the key purpose and includes all vital details (windows, deadlines, links) without redundancy. Every word earns its place.

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

Completeness5/5

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

With an output schema present, the description does not need to explain return values. It covers what the tool offers, auth requirements, and time-sensitivity, making it complete for a relatively simple read-only tool.

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?

The sole parameter 'category' is fully described in the schema with enum values and optionality. The description mentions 'per-category shoot guides' but adds little beyond the schema; baseline 3 is appropriate given 100% schema coverage.

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 what the tool does: provides a retail shoot calendar for fashion sellers, detailing which shoot windows are open or urgent, deadlines, and links to per-category guides. It is specific and distinguishes from siblings like audit_store or job status tools.

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

Usage Guidelines4/5

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

The description implies usage: when a seller needs to know current shoot windows and deadlines. It mentions 'no account needed' and gives clear context, but does not explicitly state when not to use or name alternatives, though siblings are clearly different in purpose.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct function: auditing a store, creating preview/tryon jobs, polling their statuses, checking credits, and getting seasonal guides. The preview vs tryon separation is clear, and audit_store explicitly references create_tryon_job, avoiding confusion.

Naming Consistency5/5

All tool names follow a strict verb_noun pattern (audit_store, create_preview_job, create_tryon_job, get_credits_balance, get_job_status, get_preview_status, get_seasonal_guide). Verb choices are consistent and the pattern is immediately predictable.

Tool Count5/5

Seven tools is well-scoped for this domain. Each tool serves a distinct part of the workflow—audit, preview, tryon generation, status polling, credit management, and seasonal guidance—with no redundancy or unnecessary extras.

Completeness5/5

The tool set covers the full lifecycle for both preview and tryon workflows: audit to identify needs, create jobs, poll status, and manage credits. The seasonal guide provides context for the audit. There are no obvious dead ends or missing operations for the stated purpose.

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