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Get Science or Fiction

get_science_or_fiction

Fetch the Science or Fiction segment for a given episode: theme, items with source links, and the fiction reveal when encoded, or full transcript for manual answer.

Instructions

Get the Science or Fiction segment for an episode: the theme, the items (with source links), and which item was the fiction WHEN it is machine-encoded (answerKnown=true). When answerKnown=false, the reveal isn't in structured data — the transcript of the segment is included so the answer can be read off the discussion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episode_numberYesEpisode number, e.g. 1075
Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: it explains the conditional return of structured answer vs. transcript based on answerKnown, and mentions source links for items. This is transparent for a read-only tool.

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 concise sentences, front-loaded with the tool's purpose, and every sentence adds value. No redundant or vague wording.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, no output schema), the description thoroughly explains what is returned and how it varies. It covers all necessary behavioral context for the agent to use it correctly.

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 coverage is 100%, and the schema already describes episode_number as 'Episode number, e.g. 1075'. The description does not add significant parameter-specific semantics beyond reinforcing the purpose, so baseline 3 is appropriate.

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 tool retrieves the Science or Fiction segment for an episode, specifying the return content: theme, items with source links, and the fiction item (when available) or transcript. This is specific and distinguishes it from siblings like get_episode or get_transcript.

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 provides implicit guidance on when to use this tool (for Science or Fiction segments) and explains conditional behavior based on answerKnown. However, it does not explicitly compare to sibling tools or state when not to use it.

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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