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Atlantic/Canary 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

B3.4/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure. It does disclose that titles are discarded and implies a read-only count of current data. However, it does not mention that all nine parameters appear to be accepted yet mostly discarded, nor does it clarify side effects, network behavior, or return format. Some transparency is present, but the most unusual behavioral aspect, the unrelated optional parameters, is left unexplained.

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 two short sentences with no filler. 'Count current Hacker News front-page stories.' is front-loaded and immediately actionable, and 'Titles discarded.' adds a useful constraint without redundancy.

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?

For a tool with nine optional, seemingly unrelated parameters and no output schema, the description is too thin. It does not explain that the tool can be called with no arguments, what the return type is, or why parameters like city, json, and zone are part of the schema. An agent could reasonably pass an irrelevant parameter or be confused about what to provide. The description leaves out essential operational 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?

Schema description coverage is 100%, so the input schema already documents each parameter. The tool description adds no parameter-level meaning and does not clarify how any of the nine optional parameters relate to counting Hacker News stories. Baseline 3 is appropriate because the schema carries the parameter semantics, but the description fails to connect parameters to the tool's actual purpose.

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 action ('Count'), a specific resource ('current Hacker News front-page stories'), and adds a behavioral detail ('Titles discarded'). It is immediately distinguishable from sibling tools like web-fetch or fetch-status because it clearly promises a count rather than content retrieval.

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 gives no explicit guidance about when to use this tool versus alternatives such as web-fetch or normalize-url. 'Titles discarded' hints at a limitation, but it does not name alternatives or state conditions like 'use this only when you need the count, not the titles.' There is no exclusion or routing language.

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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