set_learning_path

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

With no annotations, the description carries the full burden. 'Replace the whole learning path' clearly indicates a destructive overwrite of the existing path, which is a critical behavioral trait. It tells the agent what gets destroyed (the previous path), though it omits additional details like reversibility or side effects.

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 wasted words. It is efficient and easy to parse, though it is arguably too sparse to be fully useful.

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 is too minimal for a tool with two required parameters, no annotations, and no parameter explanations. It lacks usage context, parameter semantics, and any detail about return values or behavior in edge cases, leaving the agent to infer too much.

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 0%, so the description must compensate, but it does not explain slug or steps. It only hints that steps are what the path is being replaced with, leaving the semantic meaning of both parameters largely undefined.

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 'Replace the whole learning path.' states a specific action (replace) and a resource (learning path). The word 'whole' suggests it overwrites the entire path, distinguishing it from sibling add_learning_path_step, though it does not explicitly name alternatives.

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?

No guidance is provided on when to use this tool versus alternatives like add_learning_path_step or update_section. There are no exclusions, prerequisites, or context clues beyond the bare action statement.

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