list_hub_servers

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

No annotations are provided, so the description bears full responsibility. It correctly identifies this as a read operation returning server details, but adds no behavioral context such as safety, rate limits, or side effects beyond the obvious.

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 concise, front-loaded with the main purpose, then details return values and parameters. The docstring style is efficient, though slightly verbose for the parameter description.

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 simplicity (list operation, one optional parameter, output schema exists), the description covers what is returned and how to filter. It is complete enough for an AI agent to use correctly.

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%, but the description explains the 'category' parameter with examples ('binary-analysis', 'web-security', 'reconnaissance') and its filtering behavior, adding significant meaning beyond the schema's type definition.

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 explicitly states 'List all registered MCP hub servers' and details the returned information (connection type, status, tool count). This clearly distinguishes it from sibling tools like add_hub_server, start_hub_server, and stop_hub_server.

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 use for listing servers but does not provide explicit guidance on when to use this tool versus alternatives (e.g., hub_server_status). No scenarios where this should not be used are mentioned.

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