Skip to main content
Glama

x402-robots-txt

Robots Txt: Fetches a site's robots.txt and returns its HTTP status and the first 5000 characters 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
urlNo
inputNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / url / description
      Removed value: -"Url to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / url
      Added value: +{
      +  "description": "Url to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two genuinely useful traits: the response is truncated to the first 5000 characters and there is a payment/free-trial constraint per signed wallet. It says nothing about error handling, redirects, timeouts, or whether a missing robots.txt still returns a status, which is a meaningful gap for a network-fetch tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and return format are front-loaded in one clean sentence. The trailing trial-call/emoji clause is tangential to the operation itself but is short and relevant to invocation cost, so it is not materially wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with no output schema, the description adequately describes what comes back. However, with no annotations and two undocumented parameters (including an ambiguous `input`), an agent still lacks the information needed to call it correctly with confidence.

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% and neither of the two parameters is documented. 'a site's' loosely implies that the `url` parameter is the target, but the second parameter `input` is never explained at all, leaving the agent to guess whether it is a body, a selector, or a duplicate of url.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Fetches a site's robots.txt') and even specifies the return payload (HTTP status plus first 5000 characters). It does not differentiate itself from the many other HTTP/domain fetch siblings (x402-fetch, x402-http-analyze, x402-site-audit), so the agent must infer the distinction from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no named alternatives. The only context offered is a pricing note ('5 free trial calls per signed wallet'), which is about cost, not about when this tool is the right choice versus x402-fetch or a generic HTTP tool.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources