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Teaspoons to milliliters

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

C2.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state 'No browser is launched,' which is a useful behavioral note, but it does not mention whether network access occurs, what the return value is, side effects, or any error handling. For a tool named after Playwright, the clarification is helpful, but overall behavioral transparency is minimal.

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, front-loaded sentence that states the core action and a key caveat. It is efficient with no wasted words. However, it is perhaps too terse, leaving out essential context, so it does not earn a 5 for completeness of structure, but it is appropriately concise.

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

Completeness1/5

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

The tool has 9 parameters, no output schema, and no annotations, yet the description is only one sentence. It does not explain how to use the parameters, what the tool returns, when it succeeds or fails, or any behavioral details beyond the no-browser note. An agent would be largely unguided for this multi-parameter tool.

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% and each parameter has a description, so the schema already provides meaning. The tool description adds no additional context about how the parameters relate to the primary action of checking a URL. Given the high schema coverage, a baseline of 3 is appropriate; the description does not enhance parameter understanding, but it does not need to.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Check') and resource ('whether a URL can be opened'), and adds a key behavioral note ('No browser is launched'). However, the tool's name and the nine unrelated parameters (city, json, path, etc.) create confusion about what exactly is checked. The purpose is not tightly distinguished from siblings like browser-url-ok, and the description does not clarify the scope.

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?

There is no guidance on when to use this tool versus alternatives such as browser-url-ok or normalize-url. The description gives no context for when this check is appropriate, no exclusions, and no mention of prerequisites. An agent would have to infer usage from the name and the parameters, which are ambiguous.

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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