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Indian/Maldives 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

D1.4/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It mentions making a HEAD request and returning status, but the schema implies many parameters are only shape-checked and discarded, with no side effects. There is no disclosure of what actually happens for each parameter type, no mention of network access vs. local validation, and no information about return values beyond 'status only'.

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 one sentence, which is concise, but it is under-specified for the tool's complexity. It is front-loaded with the verb and resource, but it omits almost all essential context. This is not effective conciseness; it is a truncation of necessary information.

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?

For a tool with 9 optional parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain how parameters interact, what 'status only' means for non-URL inputs, what the return format is, or when each parameter is appropriate. An agent cannot safely invoke this tool correctly based on this description.

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. The main description adds no parameter semantics, but the schema's own descriptions are present. However, the schema descriptions are cryptic ('discarded after the shape check') and the main description's focus on URL may mislead an agent into thinking only url is relevant. Since the rule allows baseline 3 for high coverage, this is retained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description claims a single narrow purpose ('HEAD a public URL and return status only'), but the input schema reveals nine distinct parameter types (URL, city, JSON, path, timezone, query, etc.) each described as being 'discarded after the check' or similar. This is misleading and does not convey the tool's actual multi-purpose validation nature. It fails to differentiate from siblings like browser-url-ok or web-fetch.

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?

The description gives zero guidance on when to use this tool versus the 25 siblings. It does not mention any conditions, exclusions, or alternatives. An agent would have no way to know this tool is appropriate for validating a timezone name or a JSON document.

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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