Get type effectiveness for a given Pokémon type — useful for battle strategy.
AI agents call pokedex_type_matchup to retrieve information from Mcp Everything without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool fetches read-only reference data about Pokémon type matchups from what is effectively a static database. No data is created, modified, or deleted; no code is executed; no financial transactions occur. Misuse potential is essentially nil.
From the tool's definition 'Get type effectiveness for a given Pokémon type' — purely retrieves static game data with no side effects
Attacks that exploit this kind of access
Get type effectiveness for a given Pokémon type — useful for battle strategy. It is categorised as a Read tool in the Mcp Everything MCP Server, which means it retrieves data without modifying state.
Register the Mcp Everything MCP server in PolicyLayer and add a rule for pokedex_type_matchup: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Everything. Nothing to install.
pokedex_type_matchup is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pokedex_type_matchup rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pokedex_type_matchup. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pokedex_type_matchup is provided by the Mcp Everything MCP server (wellix260/mcp-everything). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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