screenshot url
screenshot_urlFull-page screenshot of any URL → PNG. The same job screenshot APIs charge $7-79/month for.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| width | No |
screenshot_urlFull-page screenshot of any URL → PNG. The same job screenshot APIs charge $7-79/month for.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| width | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / urlAdded value: +{}Input schema / properties / widthAdded value: +{
+ "type": "number"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits, but it only mentions 'full-page' and PNG output. It omits details such as rendering behavior, handling of dynamic content, timeout limits, error scenarios, or authentication requirements. The pricing remark is irrelevant to behavior and does not contribute to transparency.
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?
The description is brief (two sentences) but the second sentence containing the pricing comparison is irrelevant to tool functionality and adds noise. The core idea is clear, but the extraneous marketing line prevents a higher score.
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?
Given the simple nature of the tool belt (no output schema, minimal annotations), the description should at least explain parameter usage and any limitations. It does not mention width semantics, error handling, or security considerations innately relevant to taking screenshots. The description is too minimal for a complete understanding.
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 0% and the description directly explains none of the parameters. The `url` parameter is self-evident from context, but `width` is completely unexplained. The description fails to provide any additional meaning beyond what the schema already implies, forcing the agent to guess its purpose.
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 function: capturing a full-page screenshot of any URL and producing a PNG. It is specific and unambiguous, and distinguishes itself from sibling tools (none of which are screenshot-related) by using a direct verb and resource.
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 does not provide explicit guidance on when to use this tool versus alternatives; it only includes a marketing comparison to paid APIs. There are no direct usage instructions, prerequisites, or context about typical use cases, so the agent is left without clear guidance.
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.
Most tools have clear, separate purposes: diff, redact, regex, JWT, SQL, timezone, units, QR, screenshot. The main overlap is between json_format and validate_json, since both parse and validate JSON, though their outputs differ enough to be workable.
The majority follow a clear snake_case verb_noun or noun_verb pattern like diff_text, transpile_sql, and timezone_convert. sql_from_description and what_can_you_do break the pattern, but the rest is predictable and readable.
14 tools is well-scoped for a general-purpose developer utility server. Each tool covers a distinct practical need, and the count does not feel bloated for the breadth of features offered.
The toolkit covers a broad range of everyday dev utilities: text diffing, redaction, regex, JSON/YAML, SQL, time, units, JWT, QR, and screenshots. Some common basics like base64, hashing, or URL encoding could be useful additions, but the surface is complete enough for its stated purpose.