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

Beyond the sparse annotations (readOnlyHint=false, etc.), the description discloses important behaviors: invoke can run uninstalled MCPs one-off without bloating the toolkit, may return connect or checkout links requiring user action and retry, and writes require workspace owner/admin. It also explains the installed_in_toolkit vs installed_in_workspace flags, making side effects clear.

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 text is dense and every sentence adds value, but it is formatted as a single wall of text with no bullet points or clear separation of the 14 sub-actions. Length is justified by complexity, but structure could be improved for quick scanning.

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 is thorough for a complex tool: it covers the full search/describe/invoke lifecycle, install vs invoke trade-offs, auth and billing behaviors, the prompt library, and write-permission requirements. It misses minor details like the resume action and exact return shape, but overall provides enough context for correct tool invocation without an output schema.

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 carries the burden and partially compensates by explaining action enum values, mcp_id, tool_id, arguments, prompt_vars, and related fields through the workflow. However, it omits meaning for several params like limit, immediate, tier_slug, cancel_reason, and prompt_targets, so some gap remains.

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 the tool is the official mcp.ai marketplace—a catalog of MCPs/tools and the way to run them. It gives a specific core flow (search → describe → invoke) and distinguishes the tool from siblings like authenticate or toolkit_info by emphasizing its catalog and execution role.

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: 'prefer invoke for a single/occasional use,' 'Use install only to make an MCP PERMANENT,' and 'request_mcp asks us to build a NEW MCP when nothing fits.' It also contrasts list_tools as 'what is callable right now' and covers credential and payment fallbacks, giving clear alternatives.

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