random-pokemon-mcp

random_team

Read-only

Generate six unique Pokémon for a team using a deterministic seed, with optional type and generation filters plus independent legendary and mythical inclusion flags.

Instructions

Six unique species; deterministic seed, generation and any-matching type filters. Legendary and mythical inclusion flags independently filter PokeAPI classifications.

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": "random_team"
  }
}

Input Schema

Name	Required	Default
`seed`	No	random-pokemon
`types`	No
`generations`	No
`includeMythical`	No
`includeLegendary`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.3.0Oct 29, 2026

TDQS

A3.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false. The description adds useful behavior beyond annotations: deterministic seed handling, six-species uniqueness, any-matching type filtering, and independent legendary/mythical inclusion flags.

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?

The description is compact and front-loads the output and filter dimensions. The first sentence is telegraphic and lacks a clear verb, but there is little wasted text.

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 five-parameter generator with no output schema, the description explains the core output and filter behavior but does not specify the return shape, such as whether species are names or objects. It also leaves usage guidance to inference.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It conceptually covers all five parameters: seed determinism, generation filtering, any-matching type filtering, and the two independent classification flags, though it omits defaults and seed string format.

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 identifies the outcome (six unique species) and the filtering dimensions (seed, generation, type, legendary/mythical). It is clear enough to distinguish the tool's broad role, though it lacks an explicit verb and does not name sibling alternatives.

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?

The description gives no explicit when-to-use guidance, exclusions, or comparison to siblings such as analyze_team or get_pokemon. A deterministic seed hints at reproducibility, but the agent must infer the usage context.

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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