Skip to main content
Glama

summarize_website

Generate AI summaries of websites and their internal links. Set custom instructions, choose bullet or paragraph format, and control summary length.

Instructions

Summarize a website (and its internal links) using AI via ReviewWeb.site API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe main URL of the website to summarize
instructionsNoCustom instructions for the AI on how to summarize the content
systemPromptNoCustom system prompt to guide the AI
modelNoAI model to use for summarization
delayAfterLoadNoOptional delay after page load in milliseconds
maxLinksNoMaximum number of pages to process
maxLengthNoMaximum length of the summary in words
formatNoFormat of the summary (bullet points or paragraph)
debugNoEnable debug mode for detailed logging
api_keyNoYour ReviewWebsite API key
Behavior2/5

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

No annotations are present, so the description carries the full burden for behavioral disclosure. It mentions 'using AI via ReviewWeb.site API' but does not describe side effects, cost implications, synchronous/asynchronous behavior, or how internal links are followed. The tool appears read-only, but this is not explicitly stated.

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?

The description is a single concise sentence that front-loads the core purpose. No redundant information, though it could benefit from expanding on key behavioral aspects without becoming verbose.

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

Completeness2/5

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

With 10 parameters, no output schema, and no annotations, the description is too lean. It does not explain return format, error handling, or authentication requirements beyond the api_key parameter, leaving significant gaps for the agent.

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 coverage is 100%, so the baseline is 3. The description adds no extra semantic context beyond the schema's parameter descriptions, such as clarifying how 'internal links' relate to maxLinks or how instructions/systemPrompt interact.

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?

The description clearly states the tool summarizes a website including its internal links using an AI API, distinguishing it from sibling tools like summarize_url (single URL) and summarize_multiple_urls (multiple URLs). However, it does not explicitly differentiate from scrape_url or extract_data, which could also produce summaries.

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 guidance is provided on when to use this tool versus alternatives like summarize_url or scrape_url. There is no mention of prerequisites, limitations, or best practices, leaving the agent to infer usage context.

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/mrgoonie/reviewwebsite-mcp-server'

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