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

The description discloses key behavioral traits beyond annotations, such as invoke running one-off without installation, returning connect/checkout links when credentials or funds are missing, and requiring owner/admin for writes. It matches the readOnlyHint=false and openWorldHint=true annotations, adding valuable context about auth, payment, and installation side effects.

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 information-dense; every sentence adds value by covering the core flow, key distinctions, auth/payment, and the prompt library. It is not overly redundant, though it could benefit from more structured bullet points for the various actions.

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 23 parameters and no output schema, the description covers essential behaviors, use cases, constraints, and the two-tier installation model, including auth, payment, admin roles, and the prompt library. It is sufficiently complete for an agent to select and invoke tools effectively.

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 coverage, the description compensates by explaining the purpose of core parameters (action, mcp_id, tool_id, arguments, prompt variables) within the narrative, mapping them to the flow. It does not enumerate all 23 parameters, but it gives enough contextual meaning for the main ones, though not exhaustive.

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, enumerating its core actions (search, describe, invoke, install, etc.) and distinguishing it from sibling tools by covering the entire MCP lifecycle and prompt library. It specifies the exact verb+resource scope and separates it from alternatives like authenticate/connect.

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?

Provides explicit guidance on when to use each action: search→describe→invoke flow, prefer invoke over install for one-off use, install for permanent toolkit addition, and when to use subscribe/cancel, report_bug, request_mcp, and prompt functions. It also notes admin requirements for writes and how to handle connect/checkout links.

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