get_learning_path

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a structured learning path with progressive topics and resources, but lacks details on error handling, caching, rate limits, or permissions. The return format is vaguely described, which is acceptable for a simple read 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 and follows a clear docstring structure with Args and Returns sections. It avoids redundancy, though it could be slightly more compact. The format helps readability.

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 tool with low complexity (2 params, no nested objects) and no output schema, the description provides a basic understanding of inputs and outputs. However, it lacks detail on the learning path's structure (e.g., topics, steps) and could be more complete given the lack of annotations. It is adequate but not comprehensive.

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 0% (no descriptions in schema), but the description adds meaning: 'library' is clarified as 'The library to create a learning path for', and 'experience_level' is described as 'Your current level' with examples. This adds value beyond the schema's bare titles and default value.

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: to get a structured learning path for a library based on experience level. It uses a specific verb 'Get' and resource 'structured learning path', and distinguishes from sibling tools that focus on caching, security, or search.

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 does not provide guidance on when to use this tool versus alternatives. No explicit context about prerequisites or exclusions is given, and sibling tools like get_code_examples or get_docs are not mentioned as alternatives. The agent has no help deciding when to invoke this tool.

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