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Australia/Hobart 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

C2.6/5.0
Behavior2/5

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

No annotations (readOnlyHint/destructureHint) are provided, so the description bears the full burden of behavioral disclosure. 'Titles discarded.' hints at an output trait, but its referent is ambiguous: are HN story titles dropped from results, or are the 7 unrelated inputs (ref, city, json, path) all discarded? It doesn't disclose that this is a read-only count or that most parameters are ignored, and it says nothing about auth, rate limits, or side effects. No annotation contradiction exists because no annotations were supplied.

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 text is admirably efficient: two short sentences with the verb front-loaded in the first. Every word earns its place. It falls just short of 5 because 'Titles discarded.' is cryptically terse and its meaning is ambiguous without supporting context.

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 7 parameters, no output schema, and no annotations, the description had to explain inputs and outputs — it explains neither. An agent cannot infer which parameter yields the count or what the result looks like. The gap between the stated purpose and the schema is severe: 'city', 'host', 'json', and 'path' are entirely unrelated to Hacker News front-page story counting, and the description does nothing to reconcile this.

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?

The schema descriptions cover all 7 parameters individually (e.g., 'Git ref name; discarded after the shape check'), so the schema mostly does the heavy lifting — the baseline would be 3. But the description adds no parameter guidance and never connects its stated purpose ('Count current Hacker News front-page stories') to any of ref, url, city, feed, host, json, or path. The only overlap, 'Titles discarded.', merely echoes the feed parameter's description without clarifying which inputs are actually used.

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 names a specific verb and resource: 'Count current Hacker News front-page stories.' This is genuinely informative about what the tool does. However, it does not explicitly differentiate from sibling tools such as web-fetch or fetch-status, and the second sentence 'Titles discarded.' is ambiguous, so it falls short of a 5.

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 when-to-use guidance, no exclusion criteria, and no alternative tools are named. An agent reading the description cannot determine when to pick this tool over web-fetch or fetch-status, nor whether it should supply a URL, feed, or JSON input to obtain the count.

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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