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

Beyond the sparse annotations, the description discloses auth requirements (writes require workspace owner/admin), conditional behaviors (invoke returns connect/checkout links when credentials or payment are missing), and side-effect semantics (install makes an MCP permanent; invoke is one-off and does not bloat the tool list). No contradiction with 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 front-loaded with the purpose and core flow, and every sentence adds operational value, but the single dense paragraph with many embedded clauses is harder to scan than a structured breakdown would be.

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 14-action, 23-parameter tool with no output schema, the description covers the main flows, return-link behaviors, and permission requirements quite well. It is not exhaustive—resume, immediate, and several prompt/cancel parameters go unexplained—but it is sufficient for an agent to select and invoke the primary actions 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 must carry parameter meaning, and it does explain the central action/tool_id flow and the role of prompt_vars. However, many of the 23 parameters (immediate, tier_slug, cancel_reason, prompt_targets, request_details, conversation, etc.) are left to their names, so the description only partially compensates for the schema's lack of parameter 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 opens with a clear definition: 'official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It enumerates the action families (search/describe/invoke, install, list_tools, billing, prompt library), making the tool's scope unmistakable and distinguishing it from sibling tools like connect or report_bug.

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?

Explicitly prescribes a core flow (search → describe → invoke), states when to prefer invoke over install ('prefer invoke for a single/occasional use'), and identifies list_tools as the way to see what is callable right now. It also names alternatives for unsupported needs (request_mcp) and feedback (report_bug).

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