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Disney

by io.github.pipeworx-io

Generate llms.txt

generate_llms_txt
Read-onlyIdempotent

Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull URL of the site to summarize, e.g. "https://example.com" or a specific landing page.
max_linksNoMaximum number of link entries to include (default 25, max 50).

TDQS

A4.5/5.0
Behavior4/5

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

Annotations include readOnlyHint=true, idempotentHint=true, etc. The description adds behavioral context: fetches page, extracts title/description/key links, emits standard markdown. No contradictions with annotations.

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?

Three sentences: first states purpose, second explains process and output, third lists use cases. No wasted words, front-loaded with key info.

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 low complexity (2 params, no output schema), the description covers all necessary aspects: input, process, output format, and use cases. Sufficient for agent invocation.

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% with clear descriptions. The description adds examples for URL (e.g., 'https://example.com') and default/max for max_links, providing extra value beyond the schema.

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 generates a production-ready llms.txt file for a given URL, specifying the verb 'generate', the resource 'llms.txt file', and details about extraction and output format. It distinguishes itself from sibling tools by focusing on AI indexing use cases.

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 explicit use cases: getting a client's site indexed, drafting for own project, auditing competitor. It does not mention when not to use or alternatives, but the context is clear enough for agents to decide.

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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool has a highly distinct purpose, from Disney character lookups to financial data and prediction market analysis. Agent can easily distinguish them by name and description.

Naming Consistency2/5

Naming conventions vary wildly: some use verb_noun (list_characters), others are phrases (ask_pipeworx) or compound nouns (polymarket_arbitrage). No consistent pattern across tools.

Tool Count1/5

34 tools is far too many for a Disney-themed server. Only 3 tools (list_characters, search_characters, get_character) relate to Disney; the rest are general-purpose data tools that belong elsewhere.

Completeness1/5

For a Disney server, the tool surface is severely incomplete. Missing basic CRUD for characters, no info on movies, parks, or media. Extraneous tools do not fill these gaps.

Resources