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PSI to kilopascals

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

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description must carry behavioral disclosure. It only states 'Titles discarded,' which is a minor detail. It does not mention side effects (read-only implied but not stated), return format, pagination, or any limitations. For a tool that likely just returns a count, the lack of detail is a significant gap.

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 short (two sentences) and the main purpose is front-loaded. It is appropriately sized for a simple counting tool, with no filler. However, the brevity comes at the cost of completeness.

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?

The tool has 9 parameters, no output schema, and no annotations. The description is severely incomplete: it does not specify which parameter is used, what the return value looks like (e.g., a number, a count of items), or any usage context. An agent would be hard-pressed to invoke this correctly without external knowledge. This is inadequate for a tool with this complexity.

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?

Schema description coverage is 100%, so baseline is 3, but the description does not clarify which of the 9 parameters are actually relevant to counting HN stories. The parameters seem generic and unrelated (e.g., 'city', 'zone', 'json'), and the tool description gives no hint of which parameter to use. This is confusing and the description adds no value beyond the schema.

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 specific resource (Hacker News front-page stories). It is clear and unambiguous, though it doesn't explicitly contrast with sibling tools. The phrase 'Titles discarded' adds a small but relevant detail about scope.

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?

No guidance is given about when to use this tool versus alternatives like 'fetch-status' or 'web-fetch'. There is no mention of prerequisites, context, or exclusion criteria. The description is purely functional with no usage context.

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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