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

The description goes beyond the annotations by detailing side effects: invoke runs tools even when not installed, returns connect/checkout links for auth/payment issues, and writes require workspace owner/admin. It also notes the one-off install behind invoke and the prompt library behavior. This is highly transparent and does not contradict the readOnlyHint=false or destructiveHint=false 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 a single dense paragraph but every sentence adds value, covering the core flow, exceptions, and prompt library. It is well-organized in a logical progression, though it could benefit from bullet points or subheadings to improve scannability. It is appropriately sized for the tool's complexity.

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?

Despite extensive coverage of the main workflow and edge cases (auth, payment, permissions), the description omits details for some actions like 'resume' and 'get_prompt' specifics, and does not describe return values for actions. Since there is no output schema, the lack of output descriptions leaves agents guessing about responses. Overall, it is fairly complete but has notable gaps.

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 and 23 parameters, the description must compensate. It explains key parameters like action, mcp_id, tool_id, arguments, and several prompt-related fields contextually, but leaves many parameters unexplained (e.g., limit, immediate, tier_slug, cancel_reason, conversation). The description provides enough for the main flow but not full parameter-level clarity.

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, a catalog of MCPs/tools with the ability to run them. It outlines specific actions (search, describe, invoke, install, etc.) and the core flow, distinguishing itself from sibling tools like detran_pr_veiculo_consultar by being a general-purpose platform rather than a specific tool.

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 guidance on when to use each action: prefer invoke for one-off use, use install for permanent toolkit additions, and use list_tools to see what is callable now. It also explains the search→describe→invoke flow and mentions capability requests, 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.