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Crawlora MCP

by net.crawlora
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draftkings_casino_cleopatra_guide

Read-only

Fetch written gameplay sections from DraftKings Casino's public Cleopatra slot tutorial, including paylines, symbols, and bonus rules. Use this for Cleopatra-specific mechanics; use draftkings_casino_slots_guide for general slot rules. The image-only payout table and promotional recommendation/CTA sections are omitted. This is informational page content, not wagering advice.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "draftkings_casino_cleopatra_guide"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered; the description adds real context beyond that by disclosing what is deliberately excluded (the image-only payout table and promotional/CTA sections) and by framing the content as informational rather than wagering advice. It does not need to explain return shape because an output schema exists.

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?

Four sentences, front-loaded with the fetch target before the routing rule and the exclusions. Every sentence carries information, though the closing 'not wagering advice' disclaimer is padding-adjacent even if defensible in a gambling context.

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

Completeness5/5

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

For a zero-parameter, read-only content fetch with both annotations and an output schema, the description covers everything an agent needs: what is returned, what is omitted, and which sibling to use instead. No behavioral or scope gaps remain.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description does clarify that the returned content is scoped to written gameplay sections, which usefully frames the parameterless call.

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?

States a specific verb ("Fetch") and a specific resource ("written gameplay sections from DraftKings Casino's public Cleopatra slot tutorial") and enumerates the content types returned: paylines, symbols, bonus rules. It explicitly distinguishes itself from draftkings_casino_slots_guide, so an agent can route without opening either schema.

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

Usage Guidelines5/5

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

Gives an explicit selection rule: use this for Cleopatra-specific mechanics, use draftkings_casino_slots_guide for general slot rules. That is a named alternative plus the condition that selects it, which is exactly what the guidance dimension asks for.

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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