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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

D1.7/5.0
Behavior2/5

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

No annotations exist, so the description carries the full burden of behavioral disclosure. It does disclose that no browser is launched, which is a useful side-effect note, but it omits what the tool actually does with the parameters, what it returns, or any side effects or side-effect-free guarantees for the other fields.

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

Conciseness2/5

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

The description is only one short sentence, which is under-specified rather than concise. It fails to describe the tool's behavior across its heterogeneous parameter set, and the single sentence does not earn its place because it doesn't aid correct invocation.

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?

With nine parameters, a vague one-line description, no output schema, and no annotations, the definition is grossly inadequate. An agent has no way to know what inputs are needed, what outcome to expect, or how this tool differs from its many siblings. This is a severe completeness gap.

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?

While schema coverage is 100%, the description adds no semantic link between the stated purpose and the nine parameters. The parameter descriptions themselves are self-contained but do not explain how they relate to 'checking whether a URL can be opened.' An agent cannot infer which parameter(s) drive the check or how the others contribute.

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

Purpose2/5

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

The description states a verb and resource ('check whether a URL can be opened'), which is specific, but it conflicts with the parameter set: the schema includes city, zone, json, path, query, etc., which have nothing to do with URL openability. This makes the actual purpose ambiguous and likely misleading for an agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus sibling tools like normalize-url, fetch-status, or web-fetch. The description gives no context, prerequisites, or exclusions, leaving the agent to guess which tool applies.

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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