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

Discloses key behaviors beyond the annotations: invoke works even when the MCP is not installed, runs one-off without bloating the tool list, requires admin for writes, and returns connect/checkout links when credentials or payment are missing. This aligns with openWorldHint=true and readOnlyHint=false, with no contradiction.

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 but densely packed with necessary distinctions for a 14-action tool. It is reasonably front-loaded with the core identity and uses 'KEY:' to highlight critical behavior. It could be better organized with bullets, but every sentence contributes actionable context.

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?

Covers the full lifecycle: discovery, description, invocation, installation, permissions, billing, prompt library, and alternatives. It even explains the installed_in_toolkit vs installed_in_workspace flags. Missing minor details like the 'resume' action, but overall it provides a complete mental model for a complex tool with no output schema.

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 adds meaning to the action parameter by enumerating all actions in prose and explains the role of tool_id, mcp_id (implied), and arguments. However, with 23 parameters and 0% schema coverage, many parameters (limit, query, immediate, tier_slug, conversation, cancel_reason, etc.) are left unexplained, so the description only partially compensates for the coverage gap.

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, the in-platform catalog and execution engine for MCPs/tools. It explains it covers capability requests and also includes a prompt library, making its scope explicit and distinguishing it from sibling tools like connect or veiculo_fipe_consultar.

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 an explicit core flow (search → describe → invoke) and clear usage guidance: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT', and 'report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits'. It also explains when invoke returns connect/checkout links instead of running directly.

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