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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

A3.7/5.0
Behavior3/5

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

With no annotations, the description has the full burden of explaining behavior. It does add a useful behavioral trait: titles are discarded, and the result is a count of the current front page. However, it does not describe read-only behavior, failure modes, rate limits, or whether the optional input parameters are used or ignored.

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 only two sentences, front-loaded with the main action, and includes no filler. 'Titles discarded' is a compact but useful behavioral note.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple empty-arguments call, the description is adequate, and the verb 'Count' implies a numeric return. But the nine-parameter input schema, absence of annotations, and lack of an output schema leave the agent unsure whether and which parameters affect the operation and what precise output shape to expect.

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% and all nine parameters are optional, so the baseline is 3. The description adds no parameter-level guidance and only loosely echoes the 'feed' parameter's 'titles discarded' wording, leaving the relationship between the parameters and the count operation ambiguous.

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 names a specific action ('count'), a specific resource ('current Hacker News front-page stories'), and adds a meaningful constraint ('Titles discarded'). This clearly distinguishes it from sibling tools like web-fetch, search-query-len, and the various shape-check tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it: when the agent needs the number of stories currently on the HN front page. The 'Titles discarded' phrase gives an implicit exclusion, but it does not name alternatives or provide explicit when-to-use / when-not-to-use guidance.

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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