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FICTURN — Short Fiction Inside ChatGPT

Start a FICTURN story

start_story
Read-only

Open one short, finished, pre-authored story directly inside ChatGPT in the FICTURN reader. Use when a user asks to read short fiction or requests a story by genre, mood or time: romance or romantic suspense, second chance, forced proximity, eerie or uncanny horror, mystery, near-future science fiction, AI thriller or speculative fiction. If no story is specified, open The Safehouse Rule. The user does not need to mention FICTURN by name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storyIdNoStory to open: the-safehouse-rule, room-713, or the-last-reply.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: stories are short, finished, pre-authored, open in the FICTURN reader, and a default story is used if none is specified. It also clarifies that the user need not explicitly name FICTURN, which is important for triggering behavior.

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 front-loaded with the core action and is reasonably concise. The genre list is somewhat long but earns its place by giving the agent concrete triggering signals. There is very little waste; the default behavior and the 'no need to mention FICTURN' note are both essential.

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

Completeness4/5

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

For a simple tool with one optional parameter, no output schema, and safety-controlling annotations, the description is nearly complete. It covers what happens, when to use it, and what to do when no story is specified. The only minor gap is not explicitly explaining how the genre examples map to the available storyId choices.

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

Parameters4/5

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

Schema coverage is 100% for the single storyId parameter, so the baseline is 3. The description adds value by explaining the default story selection when storyId is absent, which directly informs parameter handling. It does not map genres to specific IDs, but the enum values are self-explanatory and the schema already names the choices.

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 a specific verb and resource: 'Open one short, finished, pre-authored story directly inside ChatGPT in the FICTURN reader.' It clearly distinguishes this from siblings by emphasizing opening a single story directly in the reader, versus browsing or continuing fragments.

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 gives explicit when-to-use guidance: when a user asks to read short fiction or requests a story by genre, mood, or time, and it even lists concrete genres. It also specifies the default behavior when no story is specified. It does not discuss exclusions or alternatives, but the context is clear enough for an agent to route correctly.

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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