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Currency HKD

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

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the HTTP method (HEAD), the scope (public URL), and the output restriction (status only), which is useful safety-relevant information. However, it does not mention redirect handling, errors, timeouts, or the fact that many schema parameters are described as 'discarded' or unrelated to the stated HEAD behavior.

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 single sentence is concise, front-loaded, and contains no filler. It earns its place, though it is slightly under-sized relative to the broad nine-parameter schema and the ambiguity created by the parameter descriptions.

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 tool has nine optional parameters, no required parameters, no output schema, and no annotations. An agent cannot tell whether multiple parameters may be passed, what 'status' means for non-URL parameters, or what happens when no arguments are provided. The description is incomplete relative to the actual surface area shown in the schema.

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 coverage is 100%, so the schema already documents all nine parameters. The description adds no per-parameter meaning, and the url parameter's description ('HTTPS URL to normalize or cite') actually conflicts with the described HEAD behavior. This is a baseline-3 case where the schema does the heavy lifting and the description adds little parameter-level clarity.

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 concrete action: issue a HEAD request to a public URL and return only the status. It is not a tautology and is somewhat distinguishable from content-fetching siblings like web-fetch. However, the input schema advertises nine unrelated fields (city, json, path, zone, query) and describes url as 'normalize or cite', which conflicts with the described HEAD behavior and makes the tool's actual scope unclear.

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 explicit when-to-use or when-not-to-use guidance is provided, and no sibling tool is named as an alternative. The phrase 'status only' implies a lightweight HTTP-status check, but with overlapping siblings like browser-url-ok, web-fetch, and normalize-url, the agent is left to infer when this tool should be selected.

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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