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KSUID character length

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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses that no browser is launched, which is useful, but it does not explain what the tool actually does with the various parameters, whether it makes network requests, or what output it produces. The mismatch between the stated URL-checking purpose and the unrelated parameters is a major transparency gap.

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 extremely concise, with just two sentences and the main point front-loaded. However, it is so terse that it omits essential context, so while it is efficient, it sacrifices necessary detail. For a tool with 9 parameters and no other docs, this brevity is a drawback, though the structure itself is clean.

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 description is severely incomplete for a tool with 9 parameters, no output schema, and no annotations. It does not explain what the tool returns, when to use it, how parameters are used, or how it differs from siblings. An agent has almost no information to call it correctly beyond the name and the vague 'URL can be opened' claim.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter has a brief description, but the tool description adds no meaning beyond the schema. It does not explain how parameters like 'city' or 'feed' relate to the URL check, leaving the agent to wonder if only 'url' is relevant. The schema descriptions themselves are terse and do not clarify the overall intent.

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 verb and resource: it checks whether a URL can be opened, and adds a key behavioral note that no browser is launched. However, it does not differentiate from sibling tools like browser-url-ok or fetch-status, which likely perform similar checks with or without a browser, leaving ambiguity about what 'can be opened' means (syntax validation vs. network reachability).

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. It does not mention any context, prerequisites, or exclusions, and the parameter list includes many non-URL parameters (city, feed, json, path, zone, query) that are unexplained, so an agent cannot determine when this tool is the right choice.

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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