get_literature_references

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

No annotations are provided, so the description must carry the safety/behavior burden. 'Lists all... registered in TrackLab' clearly indicates a read-only, non-destructive operation. It also discloses the scope and included references, which adds value beyond the bare tool name.

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, well-structured sentence that states the action, resource, included references, and scope. Every word earns its place; there is no redundancy or filler.

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 simple, zero-parameter list tool, the description is complete: it tells the agent exactly what will be returned and what content areas are covered. No output schema exists, but the description sufficiently describes the return payload's nature.

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, so schema coverage is trivially 100%. No parameter descriptions are needed; the baseline of 4 applies since the description fully explains what the tool returns without requiring parameter context.

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 ('Lists') and a clear resource ('scientific paper & textbook references'), while enumerating the included sources (Daniels, Seiler, etc.). This clearly distinguishes it from sibling tools focused on training metrics and activities.

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 direct alternatives are mentioned, but the description makes it clear this is the tool for all registered literature references. The context signals (zero parameters, unique resource type) eliminate ambiguity about when to use it relative to siblings.

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