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Pacific/Palau 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

C2.4/5.0
Behavior2/5

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

There are no annotations, so the description must disclose behavior. It only says it counts stories and discards titles. It does not reveal that most input parameters are ignored (as indicated by the schema's 'discarded' notes), whether the tool makes network calls, or if there are any side effects. The description is silent on these, leaving the agent to guess.

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 description is exceptionally concise—two short sentences with no filler. The purpose is front-loaded. However, the brevity borders on under-specification; while it is appropriately sized for a simple tool, the lack of any parameter usage guidance reduces its structural value.

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 annotations, and no output schema, the description is severely incomplete. It does not explain what the output looks like (e.g., a numeric count), which parameters are relevant (if any), or how the tool obtains the front-page data. An agent cannot reliably invoke this tool correctly.

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?

Schema description coverage is 100%, but the parameter descriptions are all unrelated to the tool's purpose (e.g., 'Git ref name', 'City name for a public weather hint'). The tool description does not clarify which, if any, parameters affect the count. It adds no meaning beyond the schema and fails to reconcile the mismatch between the parameters and the tool's function.

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 ('Count') and resource ('current Hacker News front-page stories'), making the core purpose clear. It distinguishes from sibling tools like web-fetch or fetch-status by focusing on counting rather than fetching. However, the phrase 'Titles discarded' is ambiguous—does it mean titles are not part of the output or that the tool ignores titles? This adds minor confusion.

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 provided on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions. With 27 sibling tools, an agent has no basis to decide when this tool is appropriate, especially since the parameters seem unrelated to the stated purpose.

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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