skim
Server Details
Read any URL as clean Markdown for AI agents. No signup, no API key.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.5/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusing it with another. The tool's purpose is clearly defined and distinct.
The single tool name 'read' is a clear, imperative verb that directly describes its action. Consistency is trivially maintained.
One tool is on the thin side, but it's not trivial—it provides a substantive, reusable capability. The scope is narrow enough that a single tool earns its place, though a richer server might offer more.
For the stated purpose of fetching and converting web content to Markdown (and handling other formats), there are no obvious gaps. The tool fully covers the domain of reading a URL.
Available Tools
1 toolreadAInspect
Fetch a web page and return its main content as clean Markdown (headings, links, lists, code preserved; nav/ads/scripts stripped). Also handles plain text, JSON and XML. Use this whenever you need to read the actual content of a URL. No signup, no API key.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Absolute http(s) URL to read, e.g. https://example.com/post | |
| links | No | Keep hyperlinks as [text](url). Default true. Set false for plainer prose. | |
| max_chars | No | Optional cap on returned characters (content is truncated if longer). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Despite no annotations, the description discloses key behavioral traits: it strips navigation/ads/scripts and preserves structural elements, and notes that it handles multiple content types. It also mentions no authentication required, which is useful context.
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?
Two sentences deliver the essential purpose, output format, handling of formats, and usage guidance without waste. All sentences contribute value.
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?
The description covers input, output transformation, supported formats, and authentication requirements. Given the lack of an output schema, the description sufficiently explains the return as clean Markdown, making it complete.
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?
The schema descriptions already cover all three parameters, so the description adds no additional parameter semantics. Since coverage is 100%, a baseline score of 3 is appropriate.
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 description clearly states the tool's primary function: fetching a web page and converting it to clean Markdown. It also specifies additional supported formats (text, JSON, XML), making the purpose unambiguous.
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?
It provides explicit guidance to use this tool whenever reading URL content is needed. However, it does not mention exclusions or alternative tools, but with no siblings this is acceptable; still, for a score of 5, it would need both when and when-not.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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