search_model_variables

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

No annotations present, so description must fully disclose behavior. Only states search fields, but misses details like case sensitivity, partial matching, ranking, result limits, or pagination. Minimal disclosure for a search tool.

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?

Single sentence, no wasted words, front-loaded with action and resource. Highly concise.

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 is a search with one parameter and has an output schema, the description is minimally adequate. However, lacks usage guidance and behavioral details that would help differentiate from many sibling tools. Could be more complete.

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 is 0%, so description adds value by specifying that 'query' searches across name, standard_name, and description. This meaning is not in the schema. Could be improved by mentioning format (e.g., substring, regex) but still good.

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?

Clearly states verb 'Search' and resource 'model variables', specifying three searchable fields (name/standard_name/description). Distinguishes from siblings like 'get_model_variable' (single) and 'list_model_variables' (list all).

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?

Implied usage for text-based search of model variables, but no explicit guidance on when to use versus alternatives (e.g., 'semantic_search', 'code_search'). No exclusions or context provided.

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