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

The description discloses far more than the sparse annotations provide: invoke runs tools one-off without installing, returns connect/checkout links and a retry flow, writes require workspace owner/admin, search/describe flag install state, and prompt links open without login. There is no contradiction with annotations — readOnlyHint=false is consistent with the install/subscribe/cancel writes described.

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 (~320 words), but for a 14-action dispatcher the length is largely justified. It is well-structured: definition, core flow, conditional invoke behavior, install vs invoke boundary, auxiliary actions, then the prompt library. Minor noise such as the untranslated 'pontualmente' and ALL-CAPS emphasis could be trimmed, but nearly every sentence carries actionable guidance.

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?

Action-level coverage is strong: nearly every enum action is given context, and authorization, billing, and on-demand execution semantics are explained. However, there is no output schema and no per-action parameter documentation, so return formats and argument shapes for many of the 14 actions remain under-specified. An agent could still make exploratory calls to discover details, but the description alone is not complete enough for safe first-try invocation of every action.

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 carries the full burden of explaining parameters. It explains the action enum values and a few implicit fields (tool_id, prompt_slug, prompt_vars), but most parameters — prompt_*, cancel_*, request_*, conversation, arguments, immediate, tier_slug, message — remain undocumented, leaving an agent to guess their intended shape and meaning.

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 resource ('official mcp.ai marketplace') and its dual function as catalog and execution layer, then breaks down the core flow (search → describe → invoke) and auxiliary actions. It explicitly distinguishes itself from sibling utilities like list_tools, install, report_bug, and the prompt library actions, so an agent can tell what this tool is for.

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?

It gives explicit when-to-use versus when-not-to-use guidance: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT', 'list_tools lists what is callable right now', and subscribe/cancel for billing, request_mcp for new MCPs. The prompt library is also cleanly separated from MCP operations, removing ambiguity about which action family to pick.

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