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GhostTypes

Pokemon Go MCP Server

by GhostTypes

calculate_pokemon_weakness

Calculate how effective an attack type is against a given Pokemon, revealing strengths and weaknesses.

Instructions

Calculate type effectiveness when attacking a specific Pokemon.

This tool works for ANY Pokemon, not just those in Team Rocket lineups. It uses PokeAPI to look up Pokemon types for any valid Pokemon name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pokemon_nameYesName of the Pokemon to analyze (e.g., "Mewtwo", "Charizard")
attacking_typeYesType of attack to use (e.g., "fire", "water", "fighting")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It states it uses PokeAPI to look up types, which indicates a network call. It also mentions that it works for 'any valid Pokemon name', implying input validation. However, it does not discuss side effects (none expected), rate limits, or error handling for invalid names.

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 only two sentences, both front-loaded with the core purpose and an important clarification. Every sentence adds value without redundancy or fluff. It efficiently conveys scope and data source.

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

Completeness4/5

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

The tool has an output schema (not shown), so the description need not explain return values. For a two-parameter tool, the description sufficiently explains the action, scope, and data source. It could mention potential error cases (e.g., invalid Pokemon name) but overall is complete.

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 100%, so the input schema already describes both parameters (pokemon_name and attacking_type) with basic descriptions. The description does not add additional meaning beyond what the schema provides, such as clarifying that attacking_type is the type used by the attacker. Baseline 3 is appropriate.

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 it calculates type effectiveness when attacking a specific Pokemon, with a specific verb ('Calculate') and resource ('Pokemon weakness'). It distinguishes from sibling tools by explicitly stating it works for ANY Pokemon, not just those in Team Rocket lineups, which is a common theme among siblings.

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 provides implicit usage context by stating it works for any Pokemon, implying it is not limited to Team Rocket scenarios. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide when-not-to-use guidance. No sibling tools appear to have similar functionality, so differentiation is minimal.

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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