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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

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It clearly discloses that the call is a HEAD request (read-only, no body) and that the response is limited to status, which is meaningful. It does not mention redirects or error behavior, but the core behavior is transparent enough for a simple fetch-status tool.

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?

One short sentence front-loads the verb and directly states the input and output. No filler or repeated schema information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a nine-parameter tool with no annotations and no output schema, a single sentence leaves gaps: it does not explain why the other eight parameters exist, why none are required, or how status/errors are returned. However, the core invocation (URL in, status out) is clear enough for basic use.

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?

All nine parameters already have descriptions in the schema, so the baseline applies; the tool description adds no parameter-level meaning. It does clarify that the URL is the target of the HEAD, which helps agents pick `url`, but the schema's own `url` description ('normalize or cite') is slightly inconsistent with status checking.

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 names a specific operation ('HEAD'), a specific resource ('a public URL'), and a narrow output ('status only'), so an agent can tell what it does. It loses one point because the input schema exposes nine unrelated optional parameters, so the described purpose does not fully reconcile with the schema.

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 phrase 'status only' implies a lightweight use case and distinguishes it from full-page fetches, but the description never names alternatives or states when not to use it. With siblings like web-fetch, browser-url-ok, and normalize-url present, explicit routing would help; without it, the guidance is only implied.

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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