get_prerequisites

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

No annotations provided; description carries full burden. It states the tool returns an ordered chain but does not disclose any behavioral traits like side effects, error conditions, or prerequisites for usage.

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?

Extremely concise: one line for purpose, then arg descriptions. Each sentence serves a purpose with no redundancy. Front-loaded with key action.

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?

Output schema exists, so return values need not be explained. Description covers purpose, args with examples, and outcome. Could improve by noting behavior if concept not found, but overall sufficient for a straightforward retrieval 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?

Schema coverage 0% (no descriptions in schema), so description must compensate. It adds example values for concept and domain, and notes domain comes from list_domains(). While useful, it doesn't explain format or constraints beyond examples.

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?

Description uses specific verb 'Return' and resource 'prerequisite chain', clearly distinguishing from sibling tools like search_concepts or query_ckg. It explicitly states the output is 'full ordered prerequisite chain' and includes examples.

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?

Description indicates to use when needing prerequisite chain for a concept in a domain, and hints at domain from list_domains(). However, no explicit guidance on when not to use or alternatives among siblings.

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