Skip to main content
Glama

Wikipathways

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. The description adds value by explaining the actual process: fetches the page, extracts title/description/key links, and emits standard llms.txt markdown. This goes beyond what annotations provide, though it does not detail potential errors or rate limits.

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 sentences and a bullet list, all front-loaded with the core purpose. Every sentence adds value and there is no redundant or extraneous text.

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 description adequately explains the output format (standard llms.txt markdown, single text blob) and mentions key extraction details. Given no output schema, this is sufficient. It could mention assumptions about public URLs or limitations, but overall it is complete for a moderately complex tool with rich annotations.

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 the baseline is 3. The description reinforces the purpose of the URL and mentions 'maximum number of link entries' in the context of the tool's output, but does not add semantics beyond what the schema already provides for either parameter.

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 it generates an llms.txt file for a given URL, targeting AI crawlers. It specifies the verb 'generate' and the resource 'llms.txt file', distinguishing it from related sibling tools like scan_competitor_ai_presence. The use cases are explicitly listed.

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 clear context on when to use the tool, listing three specific use cases (indexing a client's site, drafting for own project, auditing competitors). It does not explicitly state when not to use it or name alternatives, but the sibling list is available for comparison.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Wikipathways toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.3/5.0
Disambiguation1/5

The tool set is severely mismatched: only 3 of 34 tools (get_pathway, list_pathways, search_pathways) relate to WikiPathways while the rest form overlapping Pipeworx/Polymarket families (ask_pipeworx vs ask_pipeworx_beta vs ask_pipeworx_grounded; multiple polymarket_* tools) with unclear boundaries and overlapping purposes.

Naming Consistency2/5

Naming conventions are highly inconsistent: product-specific names (pipeworx_feedback, pipeworx_trending), generic memory verbs (remember, recall, forget), and mixed snake_case patterns with no unifying verb_noun structure. The names do not reflect the WikiPathways domain at all.

Tool Count1/5

34 tools is far too many for a WikiPathways server, which only needs a handful of pathway-related operations. Nearly all tools belong to unrelated domains (SEC, FDA, Polymarket, npm, etc.), making the set feel bloated and unfocused.

Completeness1/5

For the stated WikiPathways purpose, only get, list, and search are present—no create, update, or delete operations—leaving obvious lifecycle gaps. The extensive non-WikiPathways tools do not contribute to the server's apparent domain coverage and create dead ends for agents expecting pathway management.

Resources