OpenLCA_List_LCIA_Methods_Tool

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('List') but doesn't describe key traits like whether this is a read-only operation, potential rate limits, authentication needs, or what the output format looks like (e.g., list of method names or detailed objects). This leaves significant gaps for safe and effective use.

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 with zero waste—it directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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 tool's moderate complexity (listing methods in a database context) and lack of annotations and output schema, the description is incomplete. It doesn't cover behavioral aspects like safety, performance, or output details, which are crucial for an agent to use this tool effectively in a real-world scenario.

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%, with the single parameter 'serverUrl' fully documented in the schema. The description adds no additional parameter information beyond what the schema provides, such as default behavior or usage tips, so it meets the baseline for high schema coverage without compensating value.

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 verb ('List') and resource ('all LCIA methods') with the technology context ('using OpenLCA'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'OpenLCA_List_System_Processes_Tool' or 'OpenLCA_Impact_Assessment_Tool', which might have overlapping scopes in the same domain.

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. It doesn't mention prerequisites, such as needing an OpenLCA server running, or compare it to siblings like 'Search_Life_Cycle_Models_Tool' for more specific queries, leaving the agent without context for selection.

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