drug_enrich

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

No annotations are provided, so the description carries full burden. It mentions 'AI analysis' and data sources ('OpenFDA'), but does not disclose behavioral traits such as rate limits, authentication needs, error handling, or what 'enrichment' entails beyond listing outputs. This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that front-loads key information ('Drug information enrichment via OpenFDA') and lists outputs. It avoids redundancy, though it could be slightly more structured (e.g., separating purpose from outputs).

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 no annotations and no output schema, the description is incomplete. It lacks details on return values (e.g., format of 'AI analysis'), error cases, or operational constraints. For a tool with 2 parameters and no structured output, more context is needed to guide effective use.

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 100%, so the schema fully documents both parameters. The description adds no parameter-specific semantics beyond what the schema provides (e.g., it does not explain how 'drugName' interacts with 'searchField' or format details). Baseline 3 is appropriate as the schema handles parameter documentation.

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 clearly states the tool's purpose: 'Drug information enrichment via OpenFDA' with specific outputs ('drug details, indications, interactions, and AI analysis'). It distinguishes from some siblings like 'drug_lookup' by emphasizing enrichment and AI analysis, though not explicitly contrasting with all drug-related tools like 'drug_interactions' or 'drug_rxnorm'.

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 provides no guidance on when to use this tool versus alternatives. It does not mention when to choose 'drug_enrich' over siblings like 'drug_lookup' or 'drug_interactions', nor does it specify prerequisites or exclusions. Usage is implied by the purpose but lacks explicit context.

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