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wikipedia

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

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds meaningful process details ('Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format') and output format ('single text blob ready to drop at site-root/llms.txt'), which goes beyond the annotations and helps users understand actual behavior.

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 concise and well-structured: it front-loads the main purpose, briefly explains the process, states the output format, and lists use cases. Every sentence earns its place with zero unnecessary verbosity.

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?

The tool has only 2 parameters, no output schema, and rich annotations. The description effectively covers purpose, process, output, and use cases. It might lack error-handling or limitation details, but for a simple read-only tool with strong annotations, it is sufficiently complete.

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%, so both parameters (url and max_links) are already fully described. The description adds minimal extra semantics beyond saying 'any URL' and mentioning site-root, but it doesn't elaborate on max_links or any new parameter details, meriting the baseline 3.

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's function: 'Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly.' This uses a specific verb (generate) and resource (llms.txt file), and the process details (fetch, extract, emit) distinguish it from siblings like ai_visibility_check.

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?

Provides explicit use cases via '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.' This gives clear context for when to use the tool, though it doesn't explicitly mention alternatives or exclusions relative to similar tools like scan_competitor_ai_presence.

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

A3.9/5.0
Disambiguation2/5

Several tool families have ambiguous boundaries: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are three variants of the same router (with beta currently identical), and the six polymarket tools plus bet_research heavily overlap in scanning and pricing edges. discover_tools, suggest_questions, and deep_research also all function as 'what should I query' entry points. Agents will struggle to select the right tool without carefully reading long descriptions.

Naming Consistency3/5

Many tools follow a clear verb-first snake_case pattern (get_article_extract, resolve_entity, subscribe, validate_claim), and families like ask_pipeworx_* and polymarket_* are internally consistent. However, notable noun-phrase outliers such as entity_profile, deep_research, bet_research, recent_changes, pipeworx_feedback, and polymarket_edge_tracker break the convention. The naming is readable but not predictable across the full set.

Tool Count2/5

36 tools is well over the 25+ threshold for a typical MCP server, and for a server named 'wikipedia' it is especially disproportionate: only 5 tools actually deal with Wikipedia while 31 are Pipeworx data, prediction-market, memory, subscription, and feedback utilities. The count reflects a broad all-in-one platform crammed into a Wikipedia-labeled surface rather than a well-scoped server. This is a significant scope mismatch.

Completeness4/5

The Wikipedia portion is reasonably complete for read-only lookup: search, summary, sections, full extract, and random discovery cover common encyclopedic questions without dead ends. The broader Pipeworx surface is also extensive, with query, grounded verification, deep research, entity resolution/profile/comparison, claim validation, memory, and subscription lifecycle tools. Minor gaps remain (no article categories/history, no update for subscriptions, no direct fetch of a citation URI), but they are workable.

Resources