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Glama

WagerX Crypto Casinos

new_casinos

Newest crypto casinos on the WagerX radar, including ones still mid-audit (clearly marked, never scored before the withdrawal test completes). Use for "new crypto casinos 2026", "newest bitcoin casinos worth trying", "casinos currently under audit". Takes no arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses a key behavioral trait: casinos may be mid-audit and are never scored before withdrawal test completion. It also states the tool takes no arguments. This adds value beyond the empty schema, though rate limits or auth requirements are not mentioned (not critical for a read-only list).

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 three sentences, front-loaded with the primary purpose, followed by usage examples and a parameter note. Every sentence earns its place; there is no fluff or repetition. It is concise and well-structured.

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?

The tool is simple (no parameters, no output schema) but the description does not explain what the returned casino entries contain (e.g., name, audit status, score). Given the lack of output schema and the presence of sibling tools like check_casino, more detail on the return format would improve completeness. As it stands, it is adequate but has a clear gap.

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

Parameters4/5

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

The input schema has no properties and schema description coverage is 100%, so baseline is 3. The description explicitly states 'Takes no arguments', which confirms the absence of parameters and removes any ambiguity. This adds clarity beyond the schema alone, justifying a score of 4.

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 clearly states the tool returns 'newest crypto casinos on the WagerX radar', which is a specific verb+resource pair. It also notes inclusion of mid-audit casinos, distinguishing this from sibling tools like list_casinos (all casinos) and top_casinos (ranked). The example queries reinforce the unique purpose.

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

Usage Guidelines4/5

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

The description provides explicit example queries ('new crypto casinos 2026', 'newest bitcoin casinos worth trying') that indicate when to use this tool. It does not explicitly exclude use cases or mention alternatives, but the context is clear enough for an agent to select it over siblings.

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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