Get llms.txt
get_llms_txtThe llms.txt file Anole serves for a site, with its public URL.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| site | No | Site domain, e.g. example.com (see list_sites). Optional when the account has one site. |
get_llms_txtThe llms.txt file Anole serves for a site, with its public URL.
| Name | Required | Description | Default |
|---|---|---|---|
| site | No | Site domain, e.g. example.com (see list_sites). Optional when the account has one site. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the useful fact that the response includes the public URL of the file, but it does not say what happens when a site has no llms.txt (error vs. empty result), which is the main behavioral unknown for this call.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single short clause with no filler, and the resource is front-loaded before the incidental detail about the public URL. It is terse to the point of being slightly clipped, but every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, annotated, single-optional-param read with no output schema, the description is adequate but thin: it never states whether llms.txt is generated on demand or read as-is, nor what the caller gets when the file does not exist. Those are the remaining gaps an agent would want closed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the single `site` parameter is fully documented in the schema, including the example domain and the "optional when the account has one site" rule. The description adds nothing about the parameter, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
"The llms.txt file Anole serves for a site, with its public URL" names a specific, unambiguous resource that no sibling tool touches, so there is no risk of confusion with fetch, crawl_site, or analyze_content. The only shortfall is that it is a noun phrase with an implied verb ("get") rather than an explicit one, which the tool name supplies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use context, no prerequisites, and no alternatives — for example it never says whether to call this versus the generic fetch tool when a site's llms.txt is needed. The only routing hint ("see list_sites") lives in the schema, not the description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.