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Asia/Kuwait 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

C2.4/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions 'Titles discarded,' which is a minor detail. It does not disclose whether the tool makes network calls, whether results are live, any side effects, or how the 9 unrelated parameters in the schema are handled. The parameter list itself is a red flag that the description should clarify, but it remains silent.

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 extremely concise, just two short sentences, with the primary purpose front-loaded. Every word earns its place, and there is no fluff. However, the brevity borders on under-specification, which is penalized in other dimensions but not here, where the focus is on efficient structure.

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?

Given the tool's apparent complexity (9 mostly irrelevant parameters, no output schema, no annotations), the description is grossly inadequate. It does not explain what the tool returns, why the parameters exist, what 'Titles discarded' means operationally, or how to invoke it correctly. An agent cannot reliably call this tool based on the documentation provided.

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 schema description coverage is 100%, the schema describes 9 parameters (ref, url, city, feed, host, json, path, zone, query) that are entirely unrelated to counting HN stories. The tool description does not mention any of these parameters or explain their relevance (e.g., that they are ignored). The schema hints at 'discarded' in each parameter description, but the tool description adds no value in clarifying how an agent should populate them. This leaves the agent guessing why these parameters exist.

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 ('Count') and a resource ('current Hacker News front-page stories'), which clearly conveys the tool's main purpose. It distinguishes from the sibling tools, none of which do HN counting. However, it could be slightly clearer about what 'count' returns (just the number?) and why 'Titles discarded' is relevant, but the core purpose is unambiguous.

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 provides no guidance on when to use this tool versus alternatives, no mention of use cases, prerequisites, or exclusions. It simply states what it does without situational context. An agent would have to infer applicability from the name alone.

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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