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

Annotations are minimal (readOnlyHint false, openWorldHint true, idempotentHint false, destructiveHint false). The description significantly expands on behavior: invoke runs one-off without bloat, returns connect/checkout links when needed, writes require owner/admin, search/describe flag installation status, and prompt links open without login. No contradictions with annotations.

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 long (~400 words) but well-organized: it starts with the core purpose, explains the primary flow, highlights the key invoke behavior, then details other actions and the prompt library. It is structured and front-loaded, though it could be trimmed (e.g., 'pontualmente' is unclear) and is verbose.

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 complex tool with no output schema and minimal annotations, the description covers the main workflow, permission requirements, auth/wallet edge cases, and the prompt library. However, it omits parameter-level details and does not describe return formats or error scenarios, leaving some ambiguity for agents.

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?

Schema coverage is 0%, so the description must explain all parameters. It explains the 'action' enum and implies 'mcp_id', 'tool_id', 'arguments' through the flow, but leaves many parameters unexplained (limit, query, immediate, tier_slug, prompt_*, conversation, etc.). The description does not provide per-parameter semantics, which is a significant gap for a tool with 23 parameters.

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 this is the official mcp.ai marketplace, the in-platform catalog and execution engine for MCPs, plus a prompt library. It enumerates specific actions (search, describe, invoke, install, etc.) and distinguishes itself from sibling tools by covering capability requests and tool execution, not just authentication or version info.

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?

Provides explicit when-to-use guidance: 'Core flow: action=search → describe → invoke', 'Use install only to make an MCP PERMANENT... prefer invoke for single/occasional use', 'list_tools lists what is callable right now', and explains subscribe/cancel, report_bug, request_mcp, and prompt library use cases. It also differentiates MCP discovery from prompt text searching.

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