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

The description adds valuable behavioral context beyond annotations: invoke runs MCPs even without installing them, returns connect links when credentials are missing, returns checkout/top-up links when paid capabilities need payment, and install/uninstall/subscribe/cancel require owner/admin. It also explains that publish_prompt returns a shareable short link. 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 dense and somewhat run-on, but given the tool's complexity (23 parameters, many sub-actions, prompt category additions), the length is largely justified and every sentence adds useful context. It is front-loaded with the core purpose and flow, though it could benefit from a more structured bullets/list format.

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?

There is no output schema, so the description must cover meaningful return/traffic values. It does for the important cases: describe returns tool profiles with id/params/pricing/auth, invoke can return connect or checkout links, and publish_prompt returns a shareable slug. However, it stays vague on the exact output shape for search, list_tools, cancel/resume/report_bug, and leaves some reader inference required.

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?

The schema has 23 parameters and 0% description coverage, so this description must compensate. It explains the high-level meaning of the central action field and key orchestrations (search, describe, invoke, install, etc.), but it leaves many parameters—such as limit, immediate, tier_slug, conversation, prompt_vars details, and report_context—uncovered. It is far better than nothing, but not enough to fully scaffold correct invocation for every sub-action.

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 defines the tool as "the official mcp.ai marketplace" and the central place to discover and run MCPs, with a concrete core flow (search → describe → invoke). It is reasonably specific, but it does not explicitly distinguish itself from the sibling report_bug or toolkit_info tools, and it bundles many sub-capabilities inside one dispatcher, so it lacks sharp sibling differentiation.

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 gives explicit use guidance: prefer invoke for one-off use, use install only to make the MCP permanent, use search/describe for discovery, list_tools for currently-callable tools, and request_mcp when nothing fits. It also clarifies that writes require workspace owner/admin, which is a strong usage constraint.

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