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

The description goes well beyond the annotations by disclosing that invoke runs tools without installing, returns connect links for credentials and checkout links for payment, that interactive writes require owner/admin, and that search/describe flag installed status. It also details the prompt library's independent behavior. There is 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 lengthy but well-structured, front-loading the core purpose and then using labeled sections like 'Core flow:', 'KEY:', and 'If...' to organize guidance. Each sentence adds substantive value, though it could be slightly more concise without losing critical details.

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 essential flows, permission requirements, and prompt library behavior. It explains key return artifacts like connect links, checkout links, and shareable prompt slugs. Some missing details remain, such as what 'resume' does and the exact return format of search results, but overall it is substantially complete.

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 purpose of core parameters: action values (search, describe, install, invoke, list_tools, etc.), tool_id for selecting a tool, and mcp_id within the flow. It also implies prompt-related parameters such as prompt_body and prompt_vars. However, not all 23 parameters are explained (e.g., limit, immediate, tier_slug, cancel_reason), leaving some semantic 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 states this tool is the official mcp.ai marketplace and catalog of MCPs/tools, also serving as the way to run them. It distinguishes itself from siblings by being a meta-tool for discovering, installing, and invoking MCPs, whereas siblings are domain-specific (e.g., OpenFinance).

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 guidance on when to use each action: search for discovery, describe for profiles, invoke for one-off execution, install for permanent addition, and list_tools for currently callable tools. It also explicitly recommends 'prefer invoke for a single/occasional use' over install, and explains the auth/payment fallback flow.

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