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

The description discloses that writes (install/uninstall/subscribe/cancel) require workspace owner/admin, and that invoke can run uninstalled MCPs while returning connect/checkout links when needed. This goes beyond the annotations and gives critical operational context.

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 a single dense paragraph covering many concepts. While logically ordered, it is lengthy and lacks bullet points or sections, making it harder to scan. Every sentence adds value, but better structure would improve readability.

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?

The description thoroughly covers the marketplace flow, install vs invoke nuances, permission requirements, and the prompt library. However, the complete absence of parameter guidance for a 23-parameter schema is a major gap that prevents full operational completeness.

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?

Schema description coverage is 0%: the description does not explain any of the 23 parameters, even the central 'action' enum. Although it references actions conceptually, it gives no guidance on how to populate fields like query, mcp_id, tool_id, or arguments, leaving the agent to guess entirely.

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 is the official mcp.ai marketplace for discovering and running MCPs/tools, with specific actions (search, describe, invoke, install, etc.). It distinguishes itself from sibling databricks tools by focusing on catalog discovery and execution orchestration.

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?

Explicit guidance is provided: 'prefer invoke for a single/occasional use', 'use install only to make an MCP PERMANENT', and clear direction on when to use search vs describe. It also explains the auth/credential flows and distinguishes between installed versus one-off execution.

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