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justhandled_subtitle_timeline_qa

Validate subtitle timelines by detecting invalid cue timing, overlaps, empty captions, and excessive reading speed in normalized data.

Instructions

Flag invalid cue timing, overlaps, empty captions, and excessive reading speed in normalized subtitle data. Costs $0.05 USDC on Base mainnet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cuesYes
max_characters_per_secondNo
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the cost ($0.05 USDC on Base mainnet) and the specific checks performed, which is valuable contextual behavior. The verb 'Flag' implies it is an analysis tool rather than a mutating operation, though return format is not specified.

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 composed of two sentences that front-load the core action and immediately add the cost detail. Every word contributes meaning, with no redundancy or fluff.

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?

The description covers the tool's primary function and cost, but since there is no output schema and no annotations, it leaves the return format unspecified. An agent might know what to expect (flagged issues) but lacks explicit guidance on the structure of the response. Slightly more detail would improve completeness.

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 description coverage is 0%, so the description must compensate. It mentions concepts like 'cue timing', 'overlaps', and 'reading speed', which help infer the roles of the 'cues' and 'max_characters_per_second' parameters. However, it does not explicitly define the parameters or their formats, leaving some ambiguity for the agent.

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 the specific verb 'Flag' and clearly identifies the resource and scope: invalid cue timing, overlaps, empty captions, and excessive reading speed in normalized subtitle data. This uniquely distinguishes it from sibling tools, which cover unrelated domains.

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 clearly indicates the context for use ('normalized subtitle data') and implies its role as a QA checker. It does not explicitly mention alternatives or exclusions, but given the tool's uniqueness among siblings, the context is sufficient to guide selection.

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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