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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

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of explaining behavior. It does disclose one behavioral trait, 'Titles discarded,' but omits other important behaviors such as whether the tool makes a network request, whether it is read-only, how fresh the count is, and how the 9 parameters are handled. The schema mentions many parameters being 'discarded,' but the description itself does not clarify that all parameters are effectively ignored.

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 very concise: two short sentences, with the main action front-loaded. There is no fluff or redundant wording. However, it is arguably too terse given the tool's confusing 9-parameter schema and lack of output schema, so it earns high marks for conciseness but not perfection.

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 9 optional parameters, no annotations, and no output schema, this description is incomplete. It does not say what the return value looks like, whether parameters are needed, which parameters are relevant if any, or what side effects might occur. The core purpose is clear, but the invocation contract is almost entirely absent, leaving an agent unable to call the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the schema has 100% description coverage, the description adds no parameter semantics and creates a notable mismatch: the tool counts Hacker News front-page stories, yet the parameters include city, json, path, zone, and query. The schema descriptions say things like 'discarded after the shape check' or 'discarded after the call,' but the description never explains whether any parameter should be supplied or whether all are optional and ignored. An agent cannot determine what to pass from the description alone.

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 clearly identifies the tool's core purpose and distinguishes it from generic fetch or search tools. The phrase 'Titles discarded' adds useful scope by indicating that only a count is returned, not the story titles.

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 guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. With dozens of sibling tools like web-fetch, normalize-url, and validate-json, the agent gets no help choosing this tool over them. There is no 'when not to use' or reference to a more appropriate sibling.

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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