call_gateway_tool

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It states the action and return type but does not mention potential side effects of calling arbitrary tools (some may be mutating), error handling, auth requirements, or the need for the tool to be enabled/listed. The phrase 'enabled Docker MCP servers' hints at a constraint but is insufficient for a tool that can execute any tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: a single opening sentence plus terse Args and Returns sections. No wasted words, and the structure is clear and scannable. Every sentence earns its place.

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

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

Given this tool dynamically invokes arbitrary tools, the description should provide more context about verifying the tool is enabled, the variability of results, and potential errors. The output schema existence reduces the need to explain returns, but the description only says 'Dictionary with tool execution result' without guidance on how to handle failure or indirection. The tool would benefit from referencing sibling tools like list_enabled_tools or noting that results vary by target tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description must compensate. It does: it defines tool_name with concrete examples ('create_issue', 'search_repositories') and clarifies that arguments is a dictionary of arguments, adding meaning beyond the bare schema. The parameter semantics are well addressed, though it could elaborate on argument structure for specific tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Call a tool from enabled Docker MCP servers' with a specific verb ('call') and resource ('tool from enabled Docker MCP servers'). This distinguishes it from sibling tools that manage servers, OAuth, or packs. The examples for tool_name further clarify the intended use.

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

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

The context 'from enabled Docker MCP servers' implies a prerequisite (servers must be enabled) but does not explicitly instruct when to use this tool versus alternatives like list_enabled_tools or discover_gateway_tools. No exclusions or alternative tool references are provided, so usage guidance is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.