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

Beyond the annotations, the description discloses that writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin, that invoke runs tools without installing them, and that credentials or empty wallets produce specific link responses. This adds significant behavioral context not evident from the schema or 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 long and dense, but every sentence contributes critical operating detail for a tool with 23 parameters and 14 actions. It front-loads the core flow and highlights the key invoke behavior early. The structure is a single paragraph, which hurts scannability, but the content is information-dense and avoids fluff.

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—23 parameters, no output schema, multiple actions—the description covers all major operations: search, describe, invoke, install, uninstall, subscribe/cancel, list_tools, report_bug, request_mcp, and the prompt library. It specifies return behaviors for invoke (connect link, checkout link) and publish_prompt (shareable link), and notes auth requirements. The description is effectively complete for an agent to select and invoke the tool correctly.

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 explaining the meaning of key parameters like action, mcp_id, tool_id, arguments, and prompt fields. It does not explicitly detail every parameter (e.g., limit, query, conversation), but the action enum is well mapped to use cases, and most other parameter names are self-explanatory. The core semantics are covered, though a few edge-case params remain ambiguous.

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 defines the marketplace as the official catalog of MCPs and the way to run them, with a specific core flow (search → describe → invoke). It distinguishes itself from siblings by focusing on discovery, profiling, and execution of MCPs, plus a prompt library, making its role unmistakable.

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 when-to-use guidance: prefer invoke for one-off runs, use install for permanent toolkit additions, use list_tools to see what's callable, and use subscribe/cancel for billing. It also details alternative actions like request_mcp and report_bug, and even explains fallback behavior when credentials or payment are needed.

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