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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).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

The description adds significant behavioral context beyond annotations: it fetches the page, extracts title/description/key links, and emits standard markdown. Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, and the description aligns perfectly with no contradictions.

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 three sentences, front-loading the core purpose, then process, then use cases. No extraneous words, highly efficient.

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?

With high schema coverage, no output schema needed, and the description clearly states the output format ('single text blob ready to drop at site-root/llms.txt'). It covers all necessary aspects for the tool's simple function.

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 schema fully documents both parameters. The description does not add new parameter-specific information beyond what's in the schema, earning the baseline score of 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 generates a production-ready llms.txt file for any URL, specifying the verb 'generate', the resource 'llms.txt file', and distinct use cases. It differentiates from siblings by mentioning AI crawlers and standard format.

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 lists three explicit use cases (client indexing, personal project, competitor audit) providing context. However, it lacks explicit when-not-to-use guidance or alternatives among siblings, so not a 5.

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

B3.1/5.0
Disambiguation4/5

Most tools have distinct purposes, especially within the Roblox and Pipeworx domains. However, the three variants of ask_pipeworx (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) are very similar and could cause confusion, as could deep_research vs ask_pipeworx.

Naming Consistency3/5

Naming conventions are mixed: snake_case (user_followers_count), verb_noun with underscores (ask_pipeworx), and camelCase (recall, forget). Roblox tools follow a consistent 'user_' prefix, but Pipeworx tools lack a uniform pattern.

Tool Count2/5

41 tools is excessive for a server named 'Roblox'. The majority of tools are Pipeworx data utilities, which are unrelated to the server's apparent focus. This overloading undermines coherence.

Completeness3/5

Coverage within the Roblox domain is basic (user profiles, friends, games) but misses common features like asset details or group management. Pipeworx appears comprehensive for data lookups, but the overall set lacks unified domain completeness.