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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

C2/5.0
Behavior2/5

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

No annotations are provided. The description discloses the HTTP method and limited return, but it does not explain that most schema parameters are discarded or how the tool behaves with multiple inputs. The mismatch between a HEAD operation and parameters like 'path' or 'json' could mislead about side effects.

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 main description is a single concise, front-loaded sentence that efficiently conveys a basic operation. It loses points only for omitting important context, but it is not verbose or poorly 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?

With nine optional parameters and no output schema, the description does not explain what 'status only' means (e.g., HTTP status code vs. boolean), which parameter is primary, or how to select among the many optional inputs. The context is therefore incomplete for an agent to use the tool reliably.

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 descriptions cover all parameters, but they are semantically inconsistent with the stated purpose. For example, 'url' is described as 'HTTPS URL to normalize or cite' rather than as the target of a HEAD request, and parameters like 'city', 'zone', and 'json' suggest unrelated functionality, leaving their roles ambiguous.

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 specific operation ('HEAD a public URL and return status only'), but the input schema exposes nine unrelated optional parameters (Git ref, city, feed, JSON, timezone, etc.) whose descriptions suggest different operations, so the tool's actual purpose is not fully clear.

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 given on when to use this tool versus sibling tools such as browser-url-ok, normalize-url, or web-fetch. The description only implies a narrow use case without naming alternatives or conditions.

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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