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aaronckj
by aaronckj

collect_entries

Collect giveaway entries by scanning video comments within a time window, with one entry per distinct video per commenter and a per-user cap. Writes an auditable snapshot and returns its hash.

Instructions

Collect giveaway entries: walk every upload's comments in the window (RFC3339 timestamps), one entry per distinct video per commenter, capped per user. Writes an auditable snapshot file and returns its hash.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYes
startYes
exclude_channel_idsNo
max_entries_per_userNo
comment_limit_per_videoNo
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool writes an auditable snapshot file and returns its hash (side effect), and describes the entry collection logic. However, it does not mention authorization needs, rate limits, or whether it modifies any data beyond the snapshot. Given the lack of annotations, the transparency is good but not exhaustive.

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 two sentences, with the first sentence providing the core purpose and the second adding important details about the snapshot and return value. Every word earns its place; no redundancy or fluff.

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?

Given the tool's complexity (walking uploads, comments, deduplication, capping, file writing), the description covers the key aspects: time window, per-video per-commenter dedup, per-user cap, snapshot and hash. It is sufficient for an AI agent to understand the tool's behavior, though it could benefit from mentioning constraints like API rate limits or pagination for large windows.

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 schema has 0% description coverage, so the description must compensate. It explains that 'start' and 'end' are RFC3339 timestamps (window) and that entries are 'capped per user' (relating to max_entries_per_user). However, it does not mention exclude_channel_ids or comment_limit_per_video, leaving some parameters unexplained. The description adds value for two parameters but not all.

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 verb 'collect' and the resource 'giveaway entries', and explains the method: walking every upload's comments within a window, deduplicating per video per commenter, capping per user. This differentiates it from sibling tools like export_entries_csv and draw_winners, which have different purposes.

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

Usage Guidelines3/5

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

The description implies usage for collecting giveaway entries from comments within a time window, but does not explicitly state when to use this tool versus alternatives or when not to use it. There is no exclusion guidance, leaving some ambiguity.

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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