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

The description goes well beyond the sparse annotations (readOnlyHint=false, openWorldHint=true) by disclosing many behaviors: invoke works even when the MCP is not installed, returns a connect link if credentials are needed, returns a checkout link if the wallet is empty, writes require workspace owner/admin, and search/describe flag installation status. 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 quite long but densely packed with necessary workflow information. It is front-loaded with the core purpose, then structured around core flow, key invoke behavior, install vs invoke distinction, and the prompt library. While it could be tightened, every sentence adds meaningful context for this complex multi-action 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?

Given the tool's complexity (23 parameters, no output schema, no parameter descriptions), the description provides a remarkably complete picture: the full search→describe→invoke flow, auth and payment edge cases, workspace permissions, the prompt library subsystem, and the distinction between permanent and one-off execution. It covers all major behavioral and contextual aspects an agent would need.

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 and 23 parameters, the description carries a heavy burden. It explains the meaning of key parameters like action (with all enum values), mcp_id, tool_id, arguments, prompt_slug, prompt_vars, and request_mcp parameters. However, not all parameters are explicitly defined (e.g., immediate, tier_slug, conversation, prompt_targets, cancel_reason), though context often implies their purpose.

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: 'the in-platform catalog of every MCP/tool, AND the way to run them.' It lists distinct actions (search, describe, invoke, install, etc.) and distinguishes itself from sibling tools by explaining it is the hub for discovering and running MCPs, while siblings like detran_rj_nada_consta_consultar are specific 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?

It provides an explicit core flow ('action=search discovers MCPs by intent → describe returns one MCP's full profile ... invoke RUNS that tool'), and gives clear when-to-use guidance: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT', and lists alternatives like list_tools for currently callable tools and search_prompts for prompt text.

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