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Five-field cron shape

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

C2.3/5.0
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 'Count current Hacker News front-page stories' and 'Titles discarded,' which is insufficient. It does not clarify whether this is a read-only operation, what data is accessed, what the return value looks like, or any side effects. The phrase 'Titles discarded' is ambiguous and not explained.

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

Conciseness3/5

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

The description is very concise—two short sentences. It is not overly verbose, but it is under-specified. The second sentence 'Titles discarded' is cryptic and does not earn its place as it adds confusion rather than clarity. The structure is front-loaded with the main action, but the overall brevity borders on insufficient.

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 has 9 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain what the tool does with these parameters, what it returns, or how to interpret the result. An agent cannot correctly invoke this tool based on the description alone. It lacks essential context about the counting behavior, the meaning of 'Titles discarded', and any constraints on input.

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%, but the parameter descriptions are generic and appear unrelated to the tool's stated purpose (e.g., 'Git ref name; discarded after the shape check', 'City name for a public weather hint'). The tool description adds no meaning to these parameters, and the mismatch between the tool's purpose and the schema descriptions is confusing. The description fails to explain how any parameter affects the counting operation.

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 clearly states the action (count) and the resource (current Hacker News front-page stories), making the primary purpose unambiguous. However, it does not differentiate from sibling tools like 'web-fetch' or 'fetch-status', and the phrase 'Titles discarded' is cryptic, slightly obscuring the intended outcome.

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, prerequisites, or exclusions. An agent has no information about when counting HN stories is appropriate or how it differs from similar operations.

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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