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

The description adds significant behavioral context beyond the sparse annotations: invoke runs one-off without installing or bloating the tool list, returns connect/checkout links when needed, and writes require workspace owner/admin. It also discloses installed_in_toolkit vs installed_in_workspace flags. No contradiction with annotations exists.

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 dense and front-loaded, opening with the tool's purpose and the critical invoke caveat, with no filler sentences. It could be more scannable with bullets or subheadings, but every sentence contributes useful information for such a complex tool.

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 tool with 14 actions, 23 parameters, and no output schema, the description covers core flows, permissions, billing, and the prompt library, which is more than minimal. However, it omits semantics for several actions/parameters (resume, immediate, tier_slug, conversation, etc.) and does not describe return shapes or error/retry behavior beyond the connect/checkout links.

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 23 parameters and 0% schema description coverage, the description must carry the parameter-semantics burden. It explains the action enum and core flow well (search/describe/invoke, tool_id selection, prompt variable filling), but many parameters (limit, query, immediate, tier_slug, request_details, cancel_reason, etc.) are left semantically unexplained, and JSON-string argument formats are not clarified beyond schema types.

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 specific role: 'official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them,' then details the search/describe/invoke flow and the prompt library. It clearly states what the tool does, but because it is a multi-action hub it does not explicitly draw boundaries against sibling tools like report_bug or toolkit_info.

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: 'use install only to make an MCP PERMANENT' and 'prefer invoke for a single/occasional use,' with additional direction for when to use list_tools, subscribe/cancel, report_bug, and request_mcp. It also explains what to do in credential and wallet-empty scenarios, so an agent knows when to use this tool vs alternatives.

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