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

With no annotations provided, the description carries the full disclosure burden. 'Ready-to-paste' implies the output is a formatted config snippet, which is a useful behavioral hint. However, it does not disclose what happens with partial inputs (e.g., command vs url are both optional but typically one is needed), whether the tool validates configs, or what the output structure looks like given there is no output schema.

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?

Two sentences with the core purpose front-loaded in the first. The second sentence ('Config completeness decides whether developers can install your server at all') is a motivational hook that adds minor persuasive value but no operational detail. Efficient overall, with only slight waste.

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?

For a 5-parameter generation tool with no annotations and no output schema, the description is moderately complete. It names the targets and output format ('ready-to-paste') but does not clarify which parameter combinations are valid (e.g., does a remote server need url, does a stdio server need command+args), nor what a typical generated config looks like. The absence of an output schema raises the burden on the description, which is only partially met.

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 100%, so every parameter is already documented in the schema. The description adds the cross-cutting context of the four target clients but does not explain the semantic relationship between parameters (e.g., that command/args are for stdio servers while url is for remote/streamable-http). Baseline 3 is appropriate since the schema handles the heavy lifting.

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 states a specific verb ('Generate') plus a concrete resource ('ready-to-paste MCP server config') and enumerates the four target clients (Claude Desktop, Cursor, VS Code, Windsurf). It clearly differentiates from sibling tools like generate_mcp_server_card (which produces a server card, not client config) and audit_mcp_server_security.

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 gives no explicit guidance on when to use this tool versus alternatives. Among the many generation/validation siblings (generate_mcp_server_card, validate_mcp_server_card, score_mcp_server_trust), there is no routing logic or when-not-to-use statement. The second sentence about completeness is motivational, not directional.

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