Skip to main content
Glama
Sign In

NeuralVerge

by ai.neuralverge
OverviewDiscussionsAdmin

Product Hunt forum thread comments

run_producthunt_forums_threads
Read-onlyIdempotent

Top-level comments of a Product Hunt forum thread: text, author, votes, reply count and date, all pages. 1 point per returned record.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "thread": "<thread>"
    },
    "name": "run_producthunt_forums_threads"
  }
}

Input Schema

NameRequiredDescriptionDefault
threadYesThread URL or forum/thread-slug. e.g. general/how-do-you-decide-what-features-should-be-free-and-what-should-be-paid
max_itemsNoMax items (up to 250) Default: 25.
start_pageNoStarting page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld safety, so the bar is lower, and the description adds real value beyond them: it discloses that it retrieves 'all pages' and that cost is '1 point per returned record.' It also clarifies replies are excluded. It stops short of stating rate limits or ordering.

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

Conciseness5/5

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

Two tight sentences with zero filler; the output contents and the cost/pagination traits are front-loaded and easy to scan.

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

Completeness4/5

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

No output schema exists, but the description compensates by listing returned fields, noting top-level-only scope, and disclosing the per-record cost. For a read-only tool with full annotation and schema coverage this is nearly complete, though ordering/rate context is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so every parameter is already documented in the schema, making 3 the baseline. The description's 'all pages' remark loosely relates to start_page/max_items but adds no syntax or format detail 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?

States a specific verb and resource ('Top-level comments of a Product Hunt forum thread') and enumerates the returned fields, so the agent knows exactly what it gets. It is distinguishable from siblings like run_producthunt_users_comments by scoping to a thread, but it never names an alternative to disambiguate, keeping it short of a 5.

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 versus run_producthunt_forums_search or run_producthunt_users_comments, no prerequisites, and no exclusions. The 'top-level comments' note is a scope fact, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All NeuralVerge toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources