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create_poker_table

Create a real free Omaha Hi-Lo table for bot practice or friends. Return its join link; the human plays on the website. First human to join becomes host. Never place bets or play for the user.

Input Schema

NameRequiredDescriptionDefault
privateNo
bot_countNo
game_typeNoomaha_hi_lo
opponentsNobots
player_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and non-idempotency, and the description adds genuinely new context: the table is real, the human plays on the website, the first joiner becomes host, and the tool must never bet or play on the user's behalf. That hosting rule is exactly the kind of side-effect nuance annotations cannot express. It stops short of disclosing what happens on repeated calls or table lifetime limits.

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 short sentences, front-loaded with the action and immediately followed by the return value and the hosting rule. Every sentence carries information; only the trailing safety sentence is slightly separable but still earns its place as a guardrail.

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 description correctly covers the return value (join link) in the absence of an output schema, and it explains the human-vs-bot split. Against a 5-parameter mutation tool with zero schema coverage, though, it leaves the agent guessing about configuration options like privacy, bot count, and player name, which are essential to calling it well.

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 0% across 5 parameters, so the description must carry the meaning and largely does not. 'Bot practice or friends' faintly signals the opponents enum and 'Omaha Hi-Lo' maps to the game_type constant, but private, bot_count, and player_name — including the 9-bot maximum and the 30-character name limit — are never explained.

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 with a clear variant: 'Create a real free Omaha Hi-Lo table.' It also scopes the use cases (bot practice or friends), so an agent knows exactly what gets produced. It does not distinguish itself from the read-side siblings (get_table_status, get_play_link), which overlap with the 'return its join link' outcome.

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?

Usage is implied through 'for bot practice or friends' and the behavioral boundary 'Never place bets or play for the user', which tells the agent this is table provisioning only. However, there is no explicit when-to-use vs. when-not guidance relative to the sibling tools, and the agent must infer that link retrieval after creation belongs to get_play_link.

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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