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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

C2.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that the tool uses HEAD and returns status only, which is useful, but it says nothing about the behavior for the other eight parameters (e.g., that they are discarded after checks, that there is no disk access, or that the tool only handles public URLs). This is a significant gap for a tool that appears to be a multi-purpose shape checker.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise, but it is under-specified for a tool with nine parameters. It omits crucial context about the tool's full purpose and behavioral details, so while there is no fluff, the brevity works against comprehension. Front-loading only the URL case is not enough.

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 the tool's complexity (9 parameters, no output schema, no annotations), the description is far from complete. It covers only one use case (HEAD URL) and leaves the agent guessing about the other eight parameter types, return format, and edge cases. An agent would be unable to reliably choose this tool over siblings without additional investigation.

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%, meaning every parameter is already described in the input schema (e.g., 'discarded after the shape check', 'no disk access'). The description adds no parameter-specific meaning beyond what the schema provides, so the baseline of 3 applies.

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 clear verb (HEAD) and resource (public URL) with a specific output (status only). However, the input schema reveals nine parameters covering many different checks (JSON validation, timezone, file paths, etc.) that the description never mentions, so the stated purpose is misleading about the tool's actual scope. It also does not distinguish sufficiently from sibling tools like browser-url-ok or playwright-url-ok.

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 on when to use this tool versus the many related sibling tools. The description gives no context about what distinguishes it from browser-url-ok, web-fetch, or other URL/shape-check tools, and no conditions or exclusions are provided.

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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