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America/Santo_Domingo clock

browser-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?

With no annotations, the description must disclose behavioral traits itself. It does state 'No browser is launched,' which is a meaningful safety-oriented detail. However, it does not explain side effects, network usage, return behavior, or why several unrelated parameters (city, feed, json, path, zone, query) exist. The description is minimal and leaves key operational details unstated.

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 two short sentences, front-loaded with the core purpose and a key behavioral caveat. It is efficient with no redundant phrasing. However, given the tool's complexity (9 parameters) and the absence of annotations, the brevity verges on under-specification; still, for what it does say, it is well-structured.

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?

The description is incomplete for an agent to use the tool correctly. It does not clarify which parameter is the primary input (url), why the other parameters are present, or what the output looks like (e.g., a boolean or status). With no output schema and no annotations, the description should explain the return contract and the relevance of the extra parameters, but it does not.

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 description coverage is 100%, so the schema already documents all parameters. The description adds no parameter-specific meaning. According to the rubric, a baseline of 3 is appropriate when the schema carries the semantic weight. The description's lack of parameter details is acceptable given full coverage.

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 clearly states the tool checks whether a URL can be opened and explicitly notes no browser is launched. This conveys a specific action and resource. It does not explicitly name sibling tools, but the distinction from playwright-url-ok (which likely launches a browser) is implied. Given the many siblings, a little more differentiation would help, but the core purpose is unambiguous.

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 gives no guidance on when to use this tool versus alternatives. It does not mention scenarios such as lightweight checks versus full browser rendering, nor does it exclude cases like normalization or fetching. An agent is left to infer usage from the name and the sibling list, which is insufficient for a tool with 9 parameters.

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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