url_to_markdown
Fetch any http(s) URL and return clean markdown of the page. Saves agents tokens versus raw HTML. Input: url. Price: $0.002 per call (x402, USDC on Base).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Page URL, http or https |
Fetch any http(s) URL and return clean markdown of the page. Saves agents tokens versus raw HTML. Input: url. Price: $0.002 per call (x402, USDC on Base).
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Page URL, http or https |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It usefully discloses non-obvious behavior: the $0.002 per-call cost and the x402/USDC-on-Base payment mechanism. However, it omits other relevant traits such as error behavior on non-HTML/PDF responses, JS-rendered content handling, size limits, or rate limits.
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?
Three short sentences, front-loaded with the core action and output, followed by the value proposition and pricing. Every sentence carries information an agent needs, with no filler.
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 single-parameter fetch tool with no output schema, the description covers purpose, output format, cost, and payment mechanism. The main missing piece is behavior on failure or unsupported content types, which is minor at this complexity level.
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 description coverage is 100% and there is a single required 'url' parameter, so the baseline is 3. 'Input: url' merely restates the schema and adds no format, validation, or edge-case detail beyond 'http or https' already in the schema.
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?
States a specific verb (fetch) plus resource (any http(s) URL) and the output transformation (clean markdown), which cleanly separates it from siblings like validate_domain, validate_email, and classify_text. An agent can identify exactly what it does without opening the schema.
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 a rationale for using it ('saves agents tokens versus raw HTML'), which implies the usage context, but never states when to use it versus alternatives or any prerequisites/limitations. No sibling competes directly for URL fetching, so the omission is less costly, but no explicit guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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