Multilead Open API MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the action as a retrieval (non-destructive), specifies the paginated return format, and details user types based on seat relationships. However, it does not mention potential rate limits, authentication needs, or error conditions, which are gaps for a tool with no annotations.

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 well-structured with a clear title, purpose statement, user type breakdown, and sections for Args and Returns. It is appropriately sized without fluff, though the user type list could be slightly condensed. Every sentence adds value, making it efficient and front-loaded with key information.

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 5 parameters with 0% schema coverage and no annotations, the description does a good job explaining parameters and return values. With an output schema present, it need not detail return structure further. However, for a tool with no annotations, it could better address behavioral aspects like error handling or performance limits to be 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?

Schema description coverage is 0%, so the description must compensate. It adds meaningful context for all 5 parameters: 'user_id' and 'account_id' are required for identifying the seat, while 'limit', 'offset', and 'search' are explained with defaults and purposes. This goes beyond the bare schema, though it could provide more detail on parameter interactions or constraints.

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 verb 'retrieves' and the resource 'all users associated with the chosen seat', specifying the scope with 'in any way'. It distinguishes from sibling tools like 'get_team_members' or 'list_all_users_as_a_whitelabel' by focusing on seat-specific associations, making the purpose specific and differentiated.

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 implies usage when needing to find users related to a specific seat, but does not explicitly state when to use this tool versus alternatives like 'get_team_members' or 'list_all_users_as_a_whitelabel'. It provides context on user types but lacks explicit guidance on exclusions or prerequisites, leaving usage somewhat inferred rather than clearly defined.

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