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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

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It does disclose a meaningful behavior: 'Titles discarded,' meaning the returned count is not accompanied by story titles. It also implies a live, current fetch. However, it does not mention output format, rate limits, network dependence, or whether any parameters are 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 two short sentences with zero filler. The primary action is front-loaded, and 'Titles discarded' adds useful behavioral clarification without extra verbosity.

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 parameters, no output schema, and no annotations, the description is too sparse. It does not explain whether all parameters are optional noise, which one is relevant, what the exact return value looks like, or how failures should be handled. An agent cannot confidently know whether to call with zero arguments or with some specific parameter.

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 baseline is 3. The parameter descriptions are present and detailed, but the tool description does not explain which of the nine optional parameters, if any, affect the HN front-page count. Several parameters, such as 'ref,' 'city,' and 'zone,' seem unrelated to Hacker News, which could confuse an agent about what to pass.

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 action and resource: 'Count current Hacker News front-page stories.' This is clear and distinct from generic tools like web-fetch or normalize-url. However, it does not explicitly differentiate itself from a sibling like web-fetch, which could also fetch Hacker News content.

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 the tool: whenever the agent needs the current Hacker News front-page story count. It provides no explicit guidance about when not to use it or which sibling alternative to prefer. 'Titles discarded' hints that this tool is not for retrieving titles, but no alternative is named.

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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