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

The description goes well beyond annotations by detailing the invoke-once behavior, connectivity links for credentials, checkout/top-up links, installed_in_toolkit vs installed_in_workspace flags, and owner/admin permission requirements. It also explains the prompt library's sharing behavior.

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 with no section breaks or bullet points, making it harder to scan. Every sentence adds value, but the structure is poor and the length is substantial, though justified by 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?

The description covers most of the 14 actions, explains core flows, authentication, payment, permissions, and the prompt library. However, the 'resume' action is never mentioned, and some parameters like 'conversation' and 'immediate' are not addressed, leaving minor 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 coverage, the description adds high-level meaning to many parameters through the action flow (action, mcp_id, tool_id, arguments, prompt_*). However, some parameters like conversation, resume, immediate, and limit remain unexplained, leaving a few gaps.

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 — a catalog and execution platform for MCPs/tools. It specifies the core flow (search → describe → invoke) and distinguishes it from sibling tools like report_bug by encompassing them as sub-actions.

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 provides explicit guidance on when to use invoke vs install ('prefer invoke for a single/occasional use'), how to handle auth/payment links, and when to use request_mcp ('when nothing fits'). It also clarifies that writes require owner/admin.

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