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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

B3.2/5.0
Behavior2/5

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

With no annotations, the description must carry the full behavioral burden. It adds only 'Titles discarded,' which suggests a count is returned, but it does not disclose that the nine input parameters are effectively ignored, what the output format is, whether network failures can occur, or any rate-limit or authentication concerns. This is minimal disclosure for an operationally nontrivial tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence stating the primary action and a relevant caveat. It has zero wasted words and does not repeat schema or annotation information, making it highly concise and well-structured.

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?

Given nine optional parameters, no output schema, and no annotations, a one-sentence description is insufficient. The agent is left to wonder what the return value looks like, whether the parameters are truly irrelevant, and what the tool needs to work correctly. The definition lacks essential invocation context.

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?

All nine parameters already have descriptive schema text, including explicit statements that values are discarded after shape checks. The tool description adds no parameter-level meaning, so the baseline of 3 for high schema coverage applies. However, the schema descriptions themselves are oddly disconnected from the tool purpose, a confusion the description does nothing to resolve.

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

Purpose5/5

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

The description states a specific verb ('Count'), a resource ('current Hacker News front-page stories'), and a scope caveat ('Titles discarded'), clearly distinguishing it from sibling counting tools like memory-key-count. It does not merely restate the tool name and is unambiguous about what the tool does.

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?

The description provides no guidance on when to use this tool versus siblings such as web-fetch, browser-url-ok, or fetch-status. It gives no conditions, prerequisites, or alternatives, leaving the agent without decision support for tool selection.

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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