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

Beyond the annotations, it discloses write-permission requirements ('Writes ... require workspace owner/admin'), one-off invoke behavior that avoids installing or bloating the toolkit, and the connect/checkout link-retry behavior. The description is rich in behavioral context and does not contradict the 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 dense and front-loaded with the core flow, key distinction between invoke and install, and permission notes. It is a single long paragraph that could benefit from bullets or sections, but almost every sentence carries meaningful information.

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 the tool's high complexity—14 actions, 23 parameters, no output schema—the description covers the main decision paths well: search/describe/invoke, install vs one-off use, billing, authentication failures, permissions, and the prompt library. It omits 'resume' and some return-value details, but the essential operational behavior is present.

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?

With 0% schema description coverage, the prose does substantial compensating work: it explains the action enum, the mcp_id/tool_id/arguments relationship via describe→invoke, and the prompt_* parameters via the prompt-library section. However, several parameters like limit, immediate, resume specifics, and cancel_reason details are left mostly to inference, so it is not exhaustive for all 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 it is 'the official mcp.ai marketplace — in-platform catalog of every MCP/tool, and the way to run them,' which is a concrete resource plus its core actions. It differentiates itself from sibling connection/auth tools by outlining the search → describe → invoke flow and the prompt library.

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?

It gives explicit decision rules: 'prefer invoke for a single/occasional use' and 'Use install only to make an MCP PERMANENT.' It also contrasts list_tools with search/describe and explains retry flows for missing credentials or empty wallet, so the agent knows when to use which sub-action.

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