Text-Transformer

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

No annotations are provided, so the description carries the full burden. It states the basic behavior ('convert text to uppercase') but lacks details on error handling (e.g., for non-string input), performance, or output format. 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 ('Convert text to uppercase') with zero waste. It is front-loaded and appropriately sized for a simple tool, making it easy to understand 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 no annotations, 0% schema coverage, and no output schema, the description is incomplete. It covers the basic purpose but lacks details on behavior, parameters, and return values, which are essential for a tool with this complexity level. More context is needed for adequate agent 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 0%, so the description must compensate. It mentions 'text' as the input, aligning with the single parameter in the schema, but adds no further semantics (e.g., format constraints or examples). The baseline is 3 because it partially addresses the parameter but doesn't fully compensate for the coverage gap.

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 'Convert text to uppercase' clearly states the verb ('convert') and resource ('text'), specifying the transformation to uppercase. It distinguishes from siblings like 'lowercase' and 'capitalize' by explicitly mentioning uppercase, though it doesn't contrast all siblings (e.g., 'reverse' or 'isPalindrome').

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 explicit guidance on when to use this tool versus alternatives is provided. The description implies usage for text transformation to uppercase but doesn't mention when to choose it over siblings like 'capitalize' or 'lowercase', nor does it specify any prerequisites or exclusions.

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