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

The description discloses critical behavioral traits beyond annotations: invoke works without installation, returns connect/checkout links for auth/payment, writes require workspace owner/admin, and install is for permanent addition. This supplements the sparse annotations (readOnlyHint=false, etc.) with rich 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 dense, single-paragraph wall of text but every sentence adds value. It is front-loaded with the core purpose and flow, though better structuring (e.g., bullets) would improve scannability. Still, the length is justified given the tool's 14 actions and 23 parameters.

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 covers the core flow, install vs invoke, billing, auth, and the prompt library, which is impressive for a tool with no output schema. It lacks detail on return formats (beyond connect/checkout links) and some secondary actions (resume, report_bug exact behavior), but overall it is quite complete for an agent to use 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 meaning of key parameters like action, mcp_id, tool_id, arguments, and prompt-related fields. However, it omits several parameters (limit, immediate, tier_slug, conversation, cancel_reason, etc.), leaving some semantics undefined, though the main flow is well covered.

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 catalog and runtime, with an explicit core flow (search → describe → invoke). It distinguishes itself from siblings by covering both discovery and execution of MCPs, plus the prompt library, making its purpose unmistakable.

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: prefer invoke for one-off use vs install for permanent use, use list_tools for currently callable tools, and use request_mcp when nothing fits. It also explains when to use search/describe/invoke in the core flow, giving clear alternatives and exclusions.

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