Skip to main content
Glama
Rachit8484

geoseo-mcp

by Rachit8484

generate_llms_txt

Generate llms.txt from HTML pages, grouping by URL prefix. Creates spec-compliant Markdown for LLM crawlers to find canonical content.

Instructions

Generate a draft llms.txt from a folder of HTML pages.

llms.txt (https://llmstxt.org) is the emerging standard for telling LLM crawlers where your canonical content lives. This tool reads each page's <title> and meta description, groups by URL prefix, and produces spec-compliant Markdown ready to drop at /llms.txt.

section_strategy controls grouping: - first_path_segment (default): groups by first URL path segment, e.g. all /blog/... pages under "Blog". - flat: a single "Pages" section.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
folderYes
site_urlYes
site_titleNo
site_summaryNo
patternNo*.html
section_strategyNofirst_path_segment
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses key behaviors: reading HTML files, extracting title/meta description, grouping by URL prefix, and outputting Markdown. It does not cover error handling or side effects, but sufficient for non-destructive file generation.

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: a one-sentence summary, a brief background on llms.txt, the basic operation, and a parameter explanation. No superfluous content.

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?

Given the presence of an output schema and the description's coverage of core functionality (grouping strategy, output format), it is fairly complete. Minor omissions: default limits and pattern are not mentioned, but schema supplies those.

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

Parameters2/5

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

Schema coverage is 0%, yet description only explains 'section_strategy' (with two modes). Critical parameters like 'folder', 'site_url', 'limit', and 'pattern' are not described, leaving agents to infer from names alone.

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 purpose: 'Generate a draft llms.txt from a folder of HTML pages.' It explains the standard and distinguishes from sibling 'validate_llms_txt' by focusing on generation.

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 context on when to use (initial generation) and explains the section_strategy options. It does not explicitly mention alternatives or when not to use, but the sibling list implies 'validate_llms_txt' is for post-generation checking.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Rachit8484/geoseo-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server