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

The description adds substantial behavioral context beyond the annotations: invoke works even when the MCP is not installed, runs one-off without toolkit bloat, returns connect links for auth, returns checkout/top-up links for unpaid services, and requires workspace owner/admin for writes. These disclosures meaningfully augment the readOnlyHint=false and openWorldHint=true annotations, with no contradictions.

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 densely packed, using a semi-structured flow (search → describe → invoke) and semicolon-linked clauses to maximize information per sentence. It front-loads the core purpose and covers numerous features without verbose filler. A slightly more formatted structure (bullets or headers) would improve scannability, but the density is justified given the tool's complexity.

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 complete decision space: the discovery-and-invoke flow, installed vs non-installed behavior, auth and payment edge cases with retry instructions, permission requirements, the distinction between one-off and permanent installation, and the prompt library sub-workflow. With no output schema, this text alone provides enough context for an agent to select and invoke the tool effectively in most scenarios.

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 carries the full burden and does so well: it explains the action enum values (search, describe, install, invoke, list_tools, subscribe/cancel, report_bug, request_mcp, search_prompts, get_prompt, publish_prompt), the mcp_id vs tool_id distinction, and the prompt_vars fill-in behavior. It does not document every parameter (e.g., immediate, tier_slug, message), but the core workflow and all action-specific params are semantically grounded.

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 with a precise definition: 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It enumerates specific capability requests and outlines the core action flow (search → describe → invoke), clearly distinguishing this tool from siblings like authenticate, toolkit_info, and detran_pb_licenciamento_consultar. The verb+resource structure is highly specific and unambiguous.

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?

Explicit when-to-use guidance is pervasive: 'prefer invoke for a single/occasional use' vs 'Use install only to make an MCP PERMANENT', and 'list_tools lists what is callable right now.' It also directs users to request_mcp when nothing fits, and explains subscribe/cancel/report_bug roles. This is exemplary alternative/selection guidance.

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