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ISO country NO

fetch-status

HEAD a public URL and return status only.

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

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden. It explicitly discloses that this is a HEAD request, meaning no body is retrieved, and that only status is returned. It also scopes the operation to public URLs, implying no authentication or private access. It stops short of describing redirects, timeouts, or error behavior, so it is not fully transparent.

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?

The description is a single, front-loaded sentence with no filler. Every word contributes meaning: the method (HEAD), the scope (public URL), and the output (status only). It is concise without being under-specified in its core claim.

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 tool has 9 optional parameters, no output schema, and no annotations, yet the description gives no information about return format, what happens when no parameters are provided, or which parameter is actually used for the HEAD request. The schema's many unrelated parameters make the description incomplete for reliable agent 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?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no parameter-level detail beyond what the schema provides, which is acceptable but earns only the baseline score. The odd parameter descriptions, such as 'HTTPS URL to normalize or cite' for url, are not clarified by the tool description.

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 specific operation: HEAD a public URL and return only the status. This is clear and distinguishes it from content-fetching siblings like web-fetch. However, the input schema contains many unrelated optional parameters (city, json, zone, query, etc.), and the description does not reconcile those with the stated HTTP-status purpose, leaving the tool's full scope ambiguous.

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

Usage Guidelines3/5

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

The description implies the tool should be used when you need only the HTTP status of a public URL, but it gives no explicit when-to-use or when-not-to-use guidance and names no alternative tools such as browser-url-ok, playwright-url-ok, or web-fetch. It is adequate but leaves selection decisions mostly to the agent's inference.

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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