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

The description discloses key behavioral traits beyond annotations: writes 'require workspace owner/admin', invoke returns a connect link if credentials are needed, and returns a checkout/top-up link if the wallet is empty. It also clarifies that invoke does not bloat the tool list. This is consistent with readOnlyHint=false and adds useful 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 dense and front-loaded with the core flow, and the length is largely justified given the 14 actions and prompt library coverage. However, it is a single long paragraph with complex clauses; a structured list or bulleted action breakdown would improve scannability.

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?

For a high-complexity tool with no output schema, the description covers the primary flows, permission requirements, auth/payment edge cases, and the prompt library. It is not a 5 because it omits details about list_tools output shape and several parameter behaviors, which would be valuable for fully correct invocation.

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?

Schema description coverage is 0% across 23 parameters, so the description must compensate. It does explain the meaning of action, tool_id, mcp_id, prompt_slug, and prompt_vars through the workflow narrative. However, many parameters like limit, query, immediate, tier_slug, conversation, cancel_reason, and report_context remain unexplained in both the schema and the description, leaving gaps.

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 opens by clearly defining the tool as the 'official mcp.ai marketplace' and explains the core search → describe → invoke flow, giving a specific verb+resource scope. It also distinguishes itself from sibling tools by covering both the MCP catalog and the prompt library as distinct capabilities.

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 when-to-use guidance, especially around invoke vs install: 'KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente...' and 'prefer invoke for a single/occasional use.' It also explains when to use subscribe/cancel, report_bug, request_mcp, and the prompt actions, providing clear alternatives.

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