get_topic_roadmap

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

With no annotations, the description carries the burden of behavioral disclosure. It conveys that the tool returns an ordered sequence tied to learning progression spac, which is useful, but it does not mention return format, whether the roadmap is prerequisite-based, or any other behavioral traits. It is adequate but not thorough.

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 a single, front-loaded sentence with no filler words. Every term ('Get', 'ordered topic roadmap', 'learning progression') contributes to the agent's understanding, making it an exemplar of concise writing.

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 has zero parameters, no output schema, and a straightforward retrieval purpose, the description supplies enough context for an agent to call it correctly. It could mention the shape of the roadmap, but the basic operation is fully specified for the tool's simplicity.

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?

The tool has zero parameters)Skip, so there is no parameter meaning for the description to add. The schema is trivially complete, and the baseline of 4 applies because no compensation is needed.

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 uses a specific verb ('Get') and names a specific resource ('ordered topic roadmap'), which clearly distinguishes it from sibling tools like get_theory and get_solution. It does not explicitly reference siblings, but the roadmap concept is unique enough for an agent to tell them apart.

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 phrase 'for learning progression' implies when this tool is relevant, but the description provides no explicit guidance on when to use it instead of alternatives such as pick_problem or get_theory. There are no exclusions or clear selection criteria, though the intended use case is roughly inferable.

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