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Europe/Athens clock

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

D1.5/5.0
Behavior1/5

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

With no annotations provided, the description must disclose all behavioral traits. It only mentions HEADing a URL and returning status, omitting what happens with the other 8 parameters (e.g., city, zone, query) and their discard behavior. The tool's side effects, network requirements, and error handling are entirely undisclosed.

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

Conciseness2/5

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

The description is a single sentence, which is concise, but it is under-specified to the point of being misleading. It does not earn its place because it omits critical information about the tool's broader functionality. The structure lacks any breakdown of the various operations implied by the schema.

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

Completeness1/5

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

Given the tool has 9 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the purpose of the non-URL parameters, what the tool returns beyond 'status', or how to use it for the other checks. The agent cannot correctly invoke this tool for most of its intended use cases based on the description.

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?

While the schema has 100% description coverage for each parameter, the tool description does not explain how these parameters relate to the stated purpose of 'HEAD a public URL'. The description mentions only 'url', but the schema includes many unrelated parameters that seem to belong to different operations. The description fails to provide a unifying semantic framework, leaving the agent confused about which parameters are relevant for what.

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 action (HEAD a public URL and return status only), but the schema includes 9 unrelated parameters (city, zone, query, etc.) that are not explained. This makes the tool's actual purpose ambiguous and inconsistent with the description. It does not differentiate from siblings like normalize-url or browser-url-ok, and the described behavior only covers one of many possible uses.

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 its siblings or alternatives. There is no mention of context, prerequisites, or exclusion criteria. The description is too terse to infer appropriate usage.

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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