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ISO country PK

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

C2.7/5.0
Behavior2/5

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

No annotations are present, so the description carries the full disclosure burden. It does disclose the method (HEAD), the target class (public URL), and the output restriction (status only), which are useful basics. But it omits how the many optional parameters are treated (the schema says they are 'discarded'), what 'status' means (HTTP code vs. ok flag), and any redirect, timeout, or error behavior.

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 short sentence with no filler, and the key action is front-loaded. Every word earns its place; any incompleteness is a coverage issue, not a conciseness issue.

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?

Given no output schema, no annotations, nine optional parameters, and a large set of sibling tools, this one-sentence description is not enough. It does not specify the return format, which parameters to use or ignore, or how this tool differs from web-fetch and browser-url-ok. The conflicting parameter descriptions in the schema make the gap worse.

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 baseline is 3. The tool description adds only that url is the target of the HEAD request, which is helpful because the schema's url description says 'normalize or cite' and does not mention fetching. For the other eight parameters, the description provides no guidance on whether or how they affect the call.

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 specific verb and resource ('HEAD a public URL') and limits the output to status, which is clear at a glance. However, the input schema accepts nine unrelated optional parameters (ref, city, feed, json, path, query) with 'discarded' semantics, so the description does not explain the tool's actual scope. An agent cannot tell whether this is a URL-only HEAD utility or a broader shape-check/status tool.

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?

No when-to-use guidance is provided. The description does not mention any sibling alternatives such as web-fetch, browser-url-ok, playwright-url-ok, or normalize-url, nor does it explain when HEAD-status is preferable to fetching content. An agent must infer usage from the tool name and one terse sentence.

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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