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Atlantic/Bermuda 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

C2/5.0
Behavior1/5

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 disclosing behavior. It only states that it counts stories and discards titles, but does not mention side effects, authentication requirements, rate limits, or what happens to the input parameters. The schema descriptions indicate that most inputs are 'discarded after the shape check', which contradicts the described purpose of counting HN stories, creating a behavioral inconsistency that the description does not resolve.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (one sentence), but it is under-specified rather than effectively concise. It lacks necessary structure such as usage context, parameter explanation, or output expectations. The brevity does not aid clarity; it omits critical information an agent needs.

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

Completeness1/5

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

With 9 optional parameters, no output schema, and no annotations, the description is grossly incomplete. An agent cannot determine which inputs are relevant, what the output format is, or how the tool behaves. The description fails to provide any context about the tool's integration with HN or how to call it correctly.

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?

While schema coverage is 100%, the parameter descriptions are generic and unrelated to the tool's stated purpose (e.g., 'Git ref name; discarded after the shape check'). The tool description adds no meaning beyond the schema, and the schema itself fails to explain how these parameters support counting front-page stories. The description does not compensate for the low relevance of the schema information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource ('Count current Hacker News front-page stories'), but it is terse and fails to explain the role of the 9 input parameters or distinguish this tool from siblings like 'fetch-status' or 'web-fetch' that also interact with web content. The phrase 'Titles discarded' adds confusion rather than clarity, and there is no mention of what the tool actually does with the provided inputs.

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 use this tool versus alternatives. The description does not mention any conditions, exclusions, or sibling tools. It simply states the action without context, leaving the agent to infer when it is appropriate.

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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