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

Despite annotations providing only readOnlyHint/openWorldHint/idempotentHint/destructiveHint flags, the description discloses key side effects: invoke runs even uninstalled MCPs without bloating the tool list, returns connect or checkout links when needed, and writes require workspace owner/admin. This is rich behavioral context beyond what annotations provide.

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 that front-loads its purpose but mixes MCP discovery, invocation, installation, permissions, and the prompt library without clear section breaks. Every sentence carries value, but the lack of structure makes it harder to scan and parse for an agent.

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 core flows, permissions, and edge cases (auth/payment), and even details the prompt library. However, it omits the 'resume' action entirely and does not describe what each action returns or the meaning of several parameters. For a 23-param, 14-action tool, it is strong but not fully complete.

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?

The description explains the action parameter thoroughly (search, describe, invoke, install, etc.) and gives meaning to mcp_id/tool_id via the describe flow. However, with 23 parameters and 0% schema coverage, many parameters remain unexplained (e.g., limit, immediate, arguments, conversation, prompt_vars, resume). The partial coverage is helpful but does not fully compensate for the schema void.

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 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them,' immediately establishing a specific verb and resource. It clearly distinguishes itself from siblings like toolkit_info and sintegra_mt_consultar by being the meta-level catalog and execution engine, and it details the search → describe → invoke flow.

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 when-to-use guidance: 'prefer invoke for a single/occasional use' vs 'Use install only to make an MCP PERMANENT', 'list_tools lists what is callable right now', and 'report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits.' This gives clear alternatives and decision criteria.

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