Skip to main content
Glama

prerolltubes-mcp

Server Details

Answers questions about Pre-roll Tubes Co. wholesale tube pricing, ordering, and shipping.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap. The single tool's purpose is clearly defined as answering questions about Pre-roll Tubes Co.

Naming Consistency5/5

The tool name follows a clear and descriptive pattern: ask + prerolltubes + faq. Even with only one tool, the naming is internally consistent and communicates intent.

Tool Count4/5

A single tool is minimal, but it directly matches the server's narrow FAQ-answering purpose. The server feels slightly thin, but not inappropriate for its stated scope.

Completeness5/5

The FAQ tool explicitly covers products, pricing, ordering, shipping, payment, and company practices, which are the key areas a customer-support FAQ server should address. No obvious gaps exist for the server's stated purpose.

Available Tools

1 tool
ask_prerolltubes_faqBInspect

Answers questions about Pre-roll Tubes Co.'s products, pricing, ordering, shipping, payment, and company practices.

ParametersJSON Schema
NameRequiredDescriptionDefault
questionYes

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It only states the action ('answers questions') without revealing any limitations, such as whether it draws from a static FAQ, how it handles out-of-scope or ambiguous queries, or any other behavioral traits. This is a significant gap for a tool with zero annotation support.

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?

The description is a single, focused sentence that leads with the action verb and immediately specifies the scope. There is no redundant or extraneous content; every word contributes to understanding the tool's purpose.

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

Completeness3/5

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

For a tool with one string parameter, no output schema, and no annotations, the description provides the basic purpose but lacks details about answer behavior, edge cases, and expected input style. It is adequate for a simple FAQ tool but not complete enough for an agent to fully predict outcomes without additional context.

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 0% (the 'question' parameter has no schema description). The description indirectly defines the parameter by stating the kinds of questions it answers, which adds some meaning. However, it does not explicitly describe the parameter's expected format, constraints, or that it must be a natural-language question. It partially compensates for the missing schema coverage but leaves room for ambiguity.

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 a specific verb ('Answers') and resource ('questions about Pre-roll Tubes Co.'s products, pricing, ordering, shipping, payment, and company practices'). It is unambiguous about the tool's function. However, there are no sibling tools to differentiate against, so it does not achieve the full 5 that requires explicit sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for questions within the listed categories, which gives context. But it does not explicitly state when to use the tool versus alternatives (none provided) or when not to use it (e.g., out-of-scope questions). Guidance is only implied, not explicit.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedask_prerolltubes_faq

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Provides read-only tools to search and retrieve timestamped transcript evidence from the Pinkbike Podcast, enabling bike research questions to be answered with cited source passages.
    5
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.
    886
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources