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

The description discloses important behavioral traits beyond annotations: invoke runs tools without installing them, does not bloat the tool list, returns connect links for missing credentials, returns checkout links for unpaid usage, and requires workspace owner/admin for writes. This is rich additional context that annotations alone do not provide, and it does not contradict any annotation.

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 the tool is genuinely complex with multiple action families and a prompt-library subsystem. It front-loads the core marketplace purpose and workflow, uses clear signals like 'KEY:' and 'Use install only to...' to highlight critical decision points, and nearly every sentence adds distinct information. Some structuring with bullets would improve scannability, but content is dense rather than padded.

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 23 parameters, no output schema, and sparse annotations, the description covers the main flows, auth requirements, payment edge cases, install-vs-invoke tradeoffs, and the prompt library thoroughly. It does not exhaustively document every parameter or return shape for every action, but it provides enough operational context for an agent to use the tool effectively and discover missing details through the catalog itself.

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 23 parameters and 0% schema description coverage, the description carries the main semantic burden. It does explain action, tool_id, prompt_vars, prompt_slug, and the action-dependent meaning of many fields, but many parameters such as limit, query, immediate, tier_slug, conversation, message, cancel_reason, and request_details are left without direct explanation. The description partially compensates for the schema gap but not fully.

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 this is the official mcp.ai marketplace catalog and execution layer, covering both discovery and running of MCP tools. It explicitly maps the main workflow (search → describe → invoke) and distinguishes itself from sibling tools by naming report_bug and explaining the marketplace-specific actions.

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 guidance on when to use invoke vs install ('prefer invoke for a single/occasional use'), how to handle credentials and payments, and what list_tools is for. It also explains the search/describe flow and the prompt-library subactions, so an agent can choose the correct action with clear context.

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