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

Beyond the sparse annotations (not readOnly, not destructive), the description reveals key behaviors: invoke works on non-installed MCPs, credential/payment issues produce connect/checkout links that require user action, search/describe flag installation status, and writes require owner/admin. This is meaningful operational context not visible in the 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 long but densely packed with must-know distinctions and edge cases. It front-loads the core marketplace flow and uses key terms like KEY and use install only to prioritize important behavior. It could be more scannable, but every sentence serves the agent's decision-making.

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 highly complex 23-parameter umbrella tool with no output schema and no parameter descriptions, the description provides a solid macro overview but omits many parameter semantics and a few sub-actions (e.g., resume, immediate behavior, report_bug details). It is substantially better than a minimal stub but not complete enough to invoke all cases correctly without additional probing.

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%, and there are 23 parameters, so the description bears full responsibility for parameter meaning. It explains the action-centric flow and mentions tool_id, prompts, and some fields, but leaves many parameters like limit, immediate, arguments, conversation, cancel_reason, report_context, request_details, tier_slug, and prompt_vars unexplained. This is insufficient for a correct invocation.

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/catalog and runtime, covering capability requests and discovery-to-invoke flow. It names specific sub-actions (search, describe, install, invoke, subscribe, prompt library actions) and thereby distinguishes its multi-purpose role from the narrower sibling tools.

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 offers explicit selection guidance: prefer invoke for single/occasional use, use install only to make an MCP permanent, use list_tools for what is callable now, and request_mcp when nothing fits. It also states write operations require workspace owner/admin, helping the agent decide whether to even attempt the call.

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