magg_smart_configure

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

No annotations provided, so description carries full burden. It explains two behavioral modes (with/without LLM context) and describes the workflow. However, it does not disclose potential side effects like overwriting existing configs or required permissions, which would be valuable for a mutation tool.

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 with no wasted sentences. The purpose is front-loaded, followed by a bulleted workflow and a note about prerequisites. Every sentence adds value.

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 tool is moderately complex with a two-mode workflow. The description covers workflow steps, fallback, and alternative. An output schema exists (not shown), so return values are covered. Could add more about error cases or specific behavior when allow_add is false, but overall complete enough.

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 baseline is 3. The description does not add significant meaning beyond the schema; it mentions 'automatically adds the server' which relates to allow_add but does not elaborate on auto-generation of server_name. Schema already handles parameter semantics adequately.

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's purpose: 'Use LLM sampling to intelligently configure and add a server from a URL.' It lists the workflow steps and distinguishes from the alternative 'configure_server_prompt' for generating prompts without sampling.

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?

Explicitly tells when to use: requires LLM context for intelligent config, falls back to heuristics otherwise. Directs to 'configure_server_prompt' for generating configuration prompts without sampling, providing clear alternatives.

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