magg_smart_configure

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

The description outlines the three-step workflow (metadata collection, LLM-based config generation, auto-add) and notes the fallback heuristic, but does not explicitly detail side effects beyond 'automatically adds the server.' Given no annotations, this is adequate but could be more explicit about mutability.

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 main purpose, and structured with steps and a note. Every sentence adds value without redundancy.

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?

The description covers the workflow, fallback, and alternative tool, but slightly misstates 'automatically adds' when the default allow_add is false, causing a minor completeness gap. Output schema exists, so return values are not needed.

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 coverage is 100%, so baseline is 3. The description adds no extra parameter details beyond the schema, thus meets the minimum but no bonus.

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 uses LLM sampling to intelligently configure and add a server from a URL, distinguishing it from sibling tools like configure_server_prompt (explicitly mentioned) and others in the list.

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 explicitly specifies when to use (with LLM context for intelligent config), when to avoid (fallback to heuristics without context), and suggests an alternative (configure_server_prompt for generating prompts without sampling).

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