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

Annotations indicate readOnly=false, openWorld=true, no idempotency, and no destructiveness, but the description goes beyond by explaining side-effects: writes require owner/admin, invoke runs tools even if not installed without bloating the tool list, and returns connect/checkout links for auth or payment. It also flags installed_in_toolkit vs installed_in_workspace. A small gap is not specifying exact behavior for resume or cancel_comment, but overall it discloses key behavioral traits.

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, around 250 words, covering 14 actions in a single block paragraph without bullet points or clear separation. While comprehensive, it sacrifices navigability and structure. For a tool with this many capabilities, a structured list would improve clarity. The length is justified but not optimally 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 (14 actions, 23 params, no output schema), the description gives a good high-level overview and highlights key flows (search→describe→invoke, billing, prompts), but it omits details about return formats, error handling, and many parameter purposes. It is adequate for orienting an agent but not fully complete for nuanced usage.

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 23 parameters and 0% schema description coverage, the description partially compensates by explaining the action enum and the core flow (e.g., action=search → describe → invoke with tool_id and arguments). However, it leaves many parameters unexplained, such as limit, conversation, immediate, prompt_vars, prompt_targets, and request_details. It adds meaning to primary params but not exhaustively, so it merits a middle score.

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 purpose: it is the official marketplace catalog of MCPs/tools and the mechanism to run them, covering capability requests like finding an MCP or asking about a CPF. It differentiates itself from sibling tools by detailing its sub-actions (search, describe, invoke, install) and contrasting with list_tools and prompt-library operations.

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 provides explicit guidance on when to use each action: use install for permanent addition to the toolkit, prefer invoke for one-off runs, use list_tools for currently callable tools, and subscribe/cancel for billing. It also names alternatives (e.g., report_bug, request_mcp) and specifies conditions like requiring admin for writes, clearly steering tool selection.

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