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

No annotations are provided, so the description carries the full burden. The word 'trace' suggests a read-only, exploratory operation, and the description lists what the tool finds, but it does not disclose any side effects, permissions, error behavior, or what happens if the word is not found. This is acceptable for a simple tool but leaves some uncertainty.

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 that states the action and expected results without any waste. Every phrase contributes to understanding.

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 simplicity of the tool (one parameter, no output schema), the description adequately covers what it does and what it returns. It mentions the types of connected items (lessons, themes, related words), so the return expectation is clear. It could mention depth or traversal limits, but it is complete enough for a basic tool.

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 only parameter, 'word', has a schema description that directly matches the tool description ('Word to trace through the graph'). With 100% schema coverage, the description adds little beyond the schema, but it reinforces the tracing context. Baseline 3 is appropriate.

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 'trace' with the resource 'knowledge graph' and explicitly names the outcomes: connected lessons, themes, and related words. This clearly distinguishes it from siblings like lookup_word or get_related_words, as it implies traversing relationships rather than simple lookup.

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 gives clear context for when to use this tool: when you need to find lessons, themes, and related words connected to a given word through the graph. It does not explicitly exclude alternatives, but the phrase 'trace through the knowledge graph' implies a unique use case, and no explicit when-not guidance is given.

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