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get_transcript

Retrieve podcast episode transcripts for summarization and analysis. Provides text content from scraped episodes to enable further processing.

Instructions

Read the transcript of a previously scraped episode. After reading, use get_summary_prompt for summarization instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
podcastNameYesName of the podcast
episodeTitleYesTitle of the episode
episodeDateYesDate of the episode (YYYY-MM-DD format)
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 burden of behavioral disclosure. It states this is a read operation ('Read the transcript'), which is clear, but lacks details on permissions, rate limits, error handling, or what 'previously scraped' entails (e.g., storage location, availability). The mention of 'get_summary_prompt' adds some context for workflow, but overall behavioral traits are under-specified for a tool with no annotation coverage.

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?

The description is concise with two sentences that are front-loaded: the first states the core purpose, and the second provides a usage tip. There's no wasted text, and it efficiently communicates key information. However, it could be slightly more structured by separating prerequisites from actions more clearly.

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?

Given the tool's moderate complexity (3 required parameters, no output schema, no annotations), the description is partially complete. It covers the purpose and hints at prerequisites and next steps, but lacks details on behavioral aspects like error cases, output format, or integration with sibling tools beyond 'get_summary_prompt'. Without annotations or output schema, more context on what the tool returns or how it behaves 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 100%, with all three parameters (podcastName, episodeTitle, episodeDate) documented in the schema. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints. Given the high schema coverage, a baseline score of 3 is appropriate as the description doesn't compensate but also doesn't detract.

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 clearly states the tool's purpose: 'Read the transcript of a previously scraped episode.' This specifies the verb ('Read') and resource ('transcript'), and distinguishes it from scraping or summarization tools. However, it doesn't explicitly differentiate from other read operations like 'search_podcast' or 'list_incomplete', which could also involve reading data.

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 context by stating 'previously scraped episode' and suggesting 'use get_summary_prompt for summarization instructions.' This provides some guidance on prerequisites (episode must be scraped first) and a related tool for next steps. However, it doesn't explicitly state when to use this tool versus alternatives like 'search_podcast' or 'list_incomplete', nor does it provide exclusions or detailed scenarios.

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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