Easy Notion MCP

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'List workspace users' implies a read operation but doesn't specify whether it returns all users, paginated results, or specific fields. It lacks details on permissions, rate limits, or error conditions. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence ('List workspace users.') that is front-loaded with the core action and resource. There is zero waste or redundancy, making it highly concise and well-structured for quick comprehension.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., user list format, fields included) or behavioral aspects like pagination or access requirements. For a read operation tool in a workspace context, more context is needed to guide the agent effectively.

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 tool has 0 parameters, and the schema description coverage is 100% (since there are no parameters to describe). The description doesn't need to add parameter semantics beyond what the schema provides. A baseline of 4 is appropriate as the description accurately reflects the lack of parameters without introducing confusion.

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 'List workspace users' clearly states the verb ('List') and resource ('workspace users'), making the purpose immediately understandable. It distinguishes from siblings like 'list_pages' or 'list_databases' by specifying the resource type. However, it doesn't explicitly differentiate from 'get_me' (which retrieves current user) or 'search' (which might find users), so it's not fully specific about sibling differentiation.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., workspace access), exclusions (e.g., when not to use it), or compare it to siblings like 'search' (which might filter users) or 'get_me' (for current user info). The agent must infer usage from the name and context alone.

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