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Teaspoons to milliliters

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

B3.1/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It does disclose the operation (HEAD) and that only status is returned, implying a read-only, non-destructive action. However, it doesn't mention that other parameters are ignored or discarded, nor does it describe edge cases like redirects or error handling. It's transparent about the core behavior but lacks depth.

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 a single, front-loaded sentence that efficiently states the action and result. It is concise with no wasted words. However, given the tool's complexity (9 optional parameters, many siblings), the brevity omits crucial context, so while it's concise, it's under-structured for effective selection.

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 severely incomplete for this tool's context. It has 9 parameters, many sibling tools with overlapping functions, no annotations, and no output schema. It fails to explain what 'status' entails, how to choose between this and web-fetch or URL-checking tools, and what happens with the non-URL parameters. An agent would struggle to use this correctly without further information.

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 9 parameters, including that most are discarded after checks. The description adds no parameter-specific meaning beyond what the schema provides; it only mentions 'public URL' which mirrors the url parameter description. Baseline 3 for high coverage is appropriate.

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 verb (HEAD) and resource (URL) and says it returns status only. It clearly indicates the tool performs a read-only HEAD request, distinguishing it from content-fetching tools like web-fetch. However, it does not explicitly differentiate from sibling tools like browser-url-ok or playwright-url-ok, which also check URLs, so it's clear but not fully discriminating.

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 guidance is provided on when to use this tool versus the many sibling tools. It doesn't state any exclusions or recommend alternatives, leaving the agent to infer usage from the name and one-line description. This is a significant gap given the large sibling set.

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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