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

It discloses that invoke works even for uninstalled MCPs, returns connect links for auth and checkout links for payment, notes that writes require owner/admin, and explains that search/describe flag installation status. These details go well beyond the generic annotations (readOnlyHint=false, destructiveHint=false) and provide essential operational context.

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 a single dense paragraph that covers many distinct topics (marketplace, invoke behavior, install vs invoke, prompts). Although each sentence adds information, the lack of structure makes it harder to parse. It could be split into sections or bullets for better readability.

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?

For a tool with 14 actions and 23 parameters, the description gives a strong high-level overview and covers the main flow, but it does not specify return values for all actions (e.g., search, list_tools, subscribe) or explain all parameters. It is helpful but not fully complete for a tool of this complexity.

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 description explains the core action, mcp_id, tool_id, and arguments through the flow, and touches on prompt-related parameters. However, many parameters (immediate, conversation, tier_slug, request_details, etc.) remain unexplained. With 0% schema description coverage, it only partially compensates for the lack of formal parameter descriptions.

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 identifies the tool as the official mcp.ai marketplace for discovering and running MCPs, and explicitly covers capability requests like 'find an MCP that does X'. It outlines the core flow (search → describe → invoke) and distinguishes this aggregate tool from sibling tools such as authenticate, connect, and toolkit_info by focusing on catalog exploration and execution.

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 description provides explicit decision guidance: 'prefer invoke for a single/occasional use' vs 'Use install only to make an MCP PERMANENT'. It also clarifies when to use list_tools, subscribe/cancel, report_bug, request_mcp, and the prompt library actions, giving clear context for when this tool is appropriate versus alternatives.

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