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

The description discloses important behaviors beyond annotations: invoke works even for uninstalled MCPs, returns connect/checkout links on credential/payment needs, and writes require workspace owner/admin. It also mentions installed flags and the prompt library's shareable links. 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 a single dense paragraph containing substantial useful information. All sentences carry value, but the lack of structure (bullets/sections) and inclusion of a Portuguese word ('pontualmente') reduce scannability. It is appropriately sized for the tool's complexity but could be better organized.

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 the tool's complexity (23 parameters, 14 actions, no output schema), the description provides a comprehensive and actionable picture: core workflow, authentication/payment handling, permission requirements, and the prompt library. It covers critical paths and edge cases thoroughly, leaving little ambiguity for an agent.

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 compensates by explaining the meaning of the 'action' parameter and related fields like tool_id, arguments, and tier_slug through the core flow. However, not all 23 parameters are explicitly covered (e.g., immediate, prompt_targets), leaving some ambiguity, though the most critical ones are addressed.

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's role as 'the official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them,' covering discovery, description, installation, and invocation. It distinguishes itself from sibling tools (e.g., openfinance_*) by being the central marketplace platform.

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 core flow (search → describe → invoke), and contrasts invoke vs install: 'Use install only to make an MCP PERMANENT in the active toolkit... prefer invoke for a single/occasional use.' It also explains when to use subscribe/cancel, report_bug, and request_mcp, and notes permission requirements for writes.

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