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

Beyond the annotations, the description discloses important behavioral details: writes require workspace owner/admin, invoke runs one-off without installing or bloating the toolkit, install makes an MCP permanent, and paid/credential-required cases return actionable links. These are meaningful behavioral traits that the annotations alone do not convey, and nothing in the description contradicts 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, leading with the core marketplace purpose and the KEY invoke behavior, with no filler. It is, however, a long single paragraph that mixes billing, permissions, the core flow, and the prompt library; bullets or short sections would make the action-specific guidance easier to scan.

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 23-parameter dispatcher with no output schema, the description covers the core lifecycle, permissions, auth and payment edge cases, and the separate prompt-library subsystem. It still leaves gaps around the 'resume' action, the 'immediate' parameter, and the exact result shapes of search and list_tools, so it is not fully complete.

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 description compensates by mapping the main action values to their purposes and to related parameters like query, mcp_id, tool_id, and arguments. It also covers the prompt-library parameters. However, several of the 23 parameters, such as immediate, conversation, cancel_reason, cancel_comment, and prompt_targets, are left unexplained, so the compensation is substantial but incomplete.

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 first sentence identifies the tool as the official mcp.ai marketplace, and the rest enumerates its capabilities across discovery, description, invocation, installation, billing, and prompt-library operations. It is a specific, multi-action dispatcher rather than a vague restatement, and its scope is clearly separate from the superlogica siblings.

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 gives explicit routing guidance: use install only to make an MCP permanent, prefer invoke for single or occasional use, use list_tools for what is currently callable, and use request_mcp when nothing fits. It also explains the search → describe → invoke flow and when invoke will return connect or checkout links, so an agent knows how to proceed in each state.

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