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ISO country EE

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

B3.1/5.0
Behavior2/5

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

With no annotations, the description must disclose side effects, return shape, or failure behavior; none are provided. 'Titles discarded' hints at output scope but does not state that a live network request is made, what happens on HN unavailability, or what the count value looks like.

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 short and front-loaded: the core action appears first. The second sentence is terse to the point of being cryptic, but it does add one relevant behavior clue and there is no 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?

Despite the high schema coverage, the tool has 9 optional parameters and no output schema, and the description does not explain what arguments to use, whether an empty call is intended, or what the returned count format is. This is a material completeness gap for a tool with no annotations.

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 are optional and each has a schema description, so the schema already carries parameter-level meaning and the baseline is 3. The description does not clarify which parameters, if any, affect the HN count, but it does not need to compensate because schema coverage is 100%.

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 first sentence names an exact operation ('Count') and target ('current Hacker News front-page stories'), so an agent can distinguish it from the sibling fetch/shape tools even without an explicit comparison. 'Titles discarded' narrows the expected result to a count, removing ambiguity about what is returned.

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?

There is no guidance on when to prefer this tool over web-fetch or other sibling tools, and no when-not-to-use conditions or exclusions. The tool's use case must be inferred entirely from the one-line 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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