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Europe/Zagreb clock

hn-front-count

Count current Hacker News front-page stories. Titles discarded.

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?

No annotations are provided, so the description carries the full burden. It implies network fetching ('Count current Hacker News front-page stories') but does not disclose network dependency, potential latency, failure modes, or what the output looks like. 'Titles discarded' hints at internal behavior but is vague and does not explain the overall side effects.

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 and free of fluff. However, it is too terse to be actionable; it omits essential invocation details. Being concise is positive, but under-specification reduces its value, so it merits a middle score.

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?

With 9 optional parameters, no required ones, no output schema, and no annotations, the description is far too brief to allow correct invocation. An agent has no way to know what parameter to provide, what the return value is, or what the tool actually does with the input. This is a severe gap for a tool with this complexity.

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?

Although schema description coverage is 100%, the parameter descriptions are generic and appear copied from unrelated tools (e.g., 'Git ref name; discarded after the shape check'). None of them explain how they map to counting Hacker News stories. The tool description adds no parameter meaning, so an agent would not know which parameter to use or what each one does in context.

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 and resource: 'Count current Hacker News front-page stories.' This is distinct from sibling tools, which mostly deal with URL checks, validation, or time/weather lookups. However, it does not specify what input it expects or how it relates to the parameters, so it is clear but not fully self-contained.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention which parameter to pass, whether it is a replacement for web-fetch or fetch-status, or any conditions that would make it preferable. The description offers no exclusions or use-case context.

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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