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analyze_hook

Break down a short-form transcript's opening words and classify its hook pattern to reveal how the first seconds attract or lose viewers.

Instructions

Break down the opening words of a short-form transcript and classify the hook pattern.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transcriptYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Analyze'/'classify' implies a read-only operation, but the description says nothing about input validation, error behavior on a non-transcript string, or what the classification produces. For a tool with zero annotation coverage this leaves real gaps.

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

Conciseness4/5

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

A single tight sentence with the action and object front-loaded and no filler. It is efficient, though the brevity comes partly from under-specification rather than disciplined editing.

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

Completeness2/5

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

With no annotations, no output schema, and an undocumented parameter, the description must do more work than it does. It never indicates the shape of the result (a label? a list of patterns? a score?), nor any prerequisite such as normalized input, leaving an agent unable to predict the call's outcome.

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

Parameters2/5

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

One required parameter with 0% schema description coverage, so neither the schema nor the description explains the parameter. The phrase 'short-form transcript' loosely implies the input format, but it does not state whether raw or normalized transcripts are expected, length limits, or encoding expectations. It adds marginal meaning over the bare undescriptioned string field.

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

Purpose4/5

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

The description names a specific action pair ('break down', 'classify') on a specific resource ('opening words of a short-form transcript'), which distinguishes it from siblings like analyze_video and analyze_retention. It stops short of 5 because 'hook pattern' is never defined (no categories or dimensions), so the agent knows the topic but not the output space.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no routing away from alternatives. With siblings like normalize_transcript and analyze_video, an agent cannot tell whether the transcript must be normalized first or when this tool is preferable to a general video analysis. The name and description imply 'use on a transcript' but nothing more.

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