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

The description reveals important behavioral details beyond annotations: invoke triggers a one-off install, does not bloat the tool list, returns connect/checkout links when needed, and writes require owner/admin privileges. These details are consistent with readOnlyHint=false and add meaningful context not available from annotations alone.

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?

Though long, the description is densely informative and well-structured: it front-loads the core flow, uses clear action chains with arrows, and highlights key distinctions like invoke vs install. Every major sectionearns its place, and the all-caps KEY marker helps scannability.

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 complexity (14 actions, 23 parameters, no output schema), the description covers the main flows, permission requirements, auth/payment failure modes, and the prompt library thoroughly. Minor gaps include the missing 'resume' action and some action-specific parameters, but overall it is complete enough for an agent to select and navigate the tool.

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 gives excellent semantics for the action parameter and core workflow terms like tool_id, mcp_id, and invoke, but 23 parameters exist with 0% schema coverage. Many fields such as limit, query, request_details, prompt_vars, tier_slug, and immediate are never explained, so the description only partially compensates for the missing schema documentation.

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 and the way to run MCPs/tools, explicitly covering catalog search, description, invocation, and the prompt library. It distinguishes itself from sibling tools by naming its core actions and intent-based request coverage.

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?

Usage guidance is explicit and actionable: prefer invoke for one-off use, use install only for permanent toolkit additions, use request_mcp when nothing fits, and use list_tools for currently callable tools. It also explains when auth/checkout links will appear and that writes require workspace owner/admin.

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