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Hostname label count

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

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description must carry the full behavioral burden. It only mentions 'Titles discarded' as a minor behavioral note, but does not disclose whether the tool is read-only, what it returns (e.g., an integer count, a JSON object), any rate limits, or whether it makes network calls. The lack of any such detail is a significant gap for a tool with no annotation coverage.

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 a single sentence with no wasted words, and the core purpose is front-loaded. However, it is so terse that it omits crucial invocation details, making it borderline under-specified rather than genuinely concise. It earns a 4 for efficiency but not a 5 because the brevity sacrifices necessary context.

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?

This is a tool with 9 parameters, no output schema, and no annotations, yet the description provides only a one-line purpose and a cryptic note about titles. An agent cannot determine how to construct a valid call, what the return format is, or what side effects (if any) occur. The description is fundamentally inadequate for a tool of 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?

Although the input schema descriptions cover all 9 parameters, they are generic and unrelated to the tool's stated purpose (e.g., 'ref', 'city', 'json' all being 'discarded' or 'checked'). The tool description does not clarify which parameter(s) an agent should provide to trigger the count of Hacker News stories, leaving the mapping between purpose and parameters entirely opaque. The description adds no value beyond the schema, and the schema itself is unhelpful for this purpose.

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 description states a clear, specific action: 'Count current Hacker News front-page stories.' This is a unique purpose not covered by any sibling tool, which are mostly URL/format validators. The phrase 'Titles discarded' adds a distinctive detail that further separates it from similar counting tools.

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 any of the siblings, nor does it mention any prerequisites, exclusions, or alternative tools. An agent has no information about the intended context (e.g., whether it should be used for validation checks or content queries).

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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