audio_transcription_vtt_aligner

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does mention a cost (0.035 USDC on Base L2) and the outcome (eliminating drift/overlaps/errors), but it omits any side effects, input requirements, failure modes, or whether the operation is read-only or mutating. The payload parameter is not explained, leaving significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, information-dense sentence followed by a cost note. It front-loads the primary action and output, with no filler. Every word contributes meaning, making it highly efficient and easy to parse.

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

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

The description explains the output format (WebVTT/SRT) but does not describe the expected input structure in the payload, any prerequisites (e.g., audio file format, transcript source), or how the cost is applied. With no output schema, it covers the return value adequately, but the lack of input details and differentiation from siblings leaves gaps for an agent attempting to call it correctly.

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

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 context about the tool's purpose (aligning transcripts) but does not clarify the structure of the 'payload' parameter beyond what the schema states. It does not specify what fields the payload should contain (e.g., audio file reference, raw transcript), so the description adds minimal extra semantic value for the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action (aligns), a clear resource (raw audio speech transcripts), and a precise output (word-level timestamps in WebVTT/SRT format). It also lists specific error types it fixes (clock drift, pause overlaps, boundary errors), which distinguishes it from generic transcription tools and siblings like extract_audio_transcription_cues.

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

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

The description implies when to use the tool (when aligning transcripts to timestamps) but does not explicitly mention alternatives or conditions for choosing it over siblings. It lacks statements like 'use this instead of X when...', leaving some inference to the agent. The mention of fixing specific errors provides implicit guidance but no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.