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Search Nakama API actions

nakama_search_actions
Read-only

Search the Nakama API catalog using natural language to find matching action IDs, HTTP paths, and parameter schemas for client or console operations.

Instructions

Search the Nakama API catalog (179 operations: 87 client, 92 console) by natural-language intent and get matching action IDs, HTTP method/path, summaries, and parameter schemas. Use this to discover the action_id you then pass to nakama_execute_action. Results include resolved request-body field schemas when available. Examples: 'list players', 'write storage object', 'leaderboard records', 'ban account', 'active matches'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural-language description of what you want to do.
surfaceNoLimit to 'client' (player-facing :7350) or 'console' (admin :7351) API.
limitNoMax results (default 20).
Behavior4/5

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

Annotations already declare readOnlyHint=true, and description adds that results include resolved request-body field schemas when available, plus the catalog size (179 operations). No destructive behavior, so description adds useful context beyond annotations.

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?

Two sentences: first defines purpose and output, second provides usage guidance and examples. No wasted words, highly efficient.

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 search-only read tool with no output schema, the description explains exactly what results contain (action IDs, method/path, summaries, param schemas) and the context that it serves as a discovery step before execution. Complete and sufficient.

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 description coverage is 100%, so baseline is 3. Description adds example queries but does not provide additional meaning beyond what the input schema already documents for each parameter.

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?

Clearly states the tool searches a catalog by natural-language intent and returns matching actions with IDs, HTTP method/path, summaries, and parameter schemas. Distinct from siblings like nakama_execute_action which uses the discovered action_id.

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

Usage Guidelines4/5

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

Explicitly states 'Use this to discover the action_id you then pass to nakama_execute_action', providing clear when-to-use guidance. Includes example queries. Lacks explicit when-not-to-use, but context implies not for direct execution.

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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