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playwright-url-ok

Check whether a URL can be opened. No browser is launched.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. 'No browser is launched' is a genuinely useful trait that corrects assumptions about Playwright usage, but the description does not explain what 'can be opened' actually means, whether a network request is made, whether there are rate limits or side effects, or what result is returned. Key behaviors remain opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, each earning their place: the first states the action and the second states the key behavioral constraint. The description is front-loaded, free of filler, and easy to parse. Any weakness is in completeness rather than conciseness.

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 nine heterogeneous parameters, no annotations, and no output schema, a one-line description is insufficient. It does not specify the return value, success/failure criteria, whether network access is involved, or how non-URL parameters like city, json, and path relate to the stated URL-checking task. An agent lacks important context for correct invocation.

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?

The tool description itself adds no parameter-level meaning and does not mention any of the nine parameters. However, the input schema provides descriptions for every parameter, giving high schema coverage, so the baseline of 3 applies. Some schema descriptions are odd or template-like (e.g., 'for {{name}} to cite'), but that is not the description's fault.

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 states a clear action ('Check whether a URL can be opened') and adds a useful differentiator: 'No browser is launched.' This helps distinguish it from browser-based URL tools like browser-url-ok. However, the schema accepts many non-URL parameters such as city, json, path, and search, so the stated purpose does not fully cover the tool's actual input surface.

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?

The description provides no explicit guidance on when to use this tool instead of alternatives. The only hint is 'No browser is launched,' which implies a lightweight check, but sibling tools like browser-url-ok and web-fetch are never mentioned or contrasted. An agent must infer the appropriate usage context.

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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