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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

B3.3/5.0
Behavior3/5

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

The description discloses meaningful behavior: it performs a HEAD request, only works on public URLs, and returns no body content. With no annotations available, the description carries the burden, but it omits other behavioral details such as redirect handling, timeout behavior, error responses, and what exactly 'status' means.

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 with no wasted words, which is structurally excellent. However, given the tool's 9-parameter schema and lack of output schema or annotations, the extreme brevity leaves out information that an agent needs, so it is concise rather than appropriately sized.

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?

For a tool with 9 optional parameters, no output schema, and no annotations, the description is incomplete. It does not state what the returned status looks like, how to choose between the many parameters, what happens when non-URL parameters are supplied, or any error/redirect semantics, so an agent cannot fully anticipate the tool's behavior.

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 and the schema already documents each parameter's meaning and disposal behavior. The description adds no parameter semantics beyond 'URL', and it does not reconcile the single-URL focus with the eight other accepted parameters, which creates ambiguity about how to invoke the tool correctly.

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), a specific resource (a public URL), and the result (status only), so an agent can grasp the core action quickly. It does not explicitly differentiate from sibling fetch/lookup tools such as web-fetch or browser-url-ok, and the broad 9-parameter schema makes it less clear what the tool actually operates on beyond the URL.

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 'return status only' implies this tool is for lightweight status checks rather than content retrieval, so some usage context is present. However, there is no explicit guidance about when to prefer this over sibling tools, no exclusions, and no mention of whether non-URL parameters are valid use cases.

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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