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

With no annotations, the description carries the full burden, and it does disclose the return composition (canonical tautomer plus all alternatives). However it omits behavioral traits such as whether the returned set is ranked, auth/key requirements, or how max_tautomers affects results.

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?

Two tight sentences, front-loaded with the core action followed by the return summary. No filler or redundancy.

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?

An output schema exists, so return values need no further explanation, and the tool is conceptually simple. But with zero annotation and zero schema-description coverage, the undocumented parameters leave the definition only partially 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 the description should compensate, but it mentions none of the three parameters. The key input (smiles) and the max_tautomers control are undocumented in both schema and description, leaving their meaning and effect to inference.

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?

States a specific verb (enumerate) and resource (tautomers of a molecule), reinforced with concrete examples (keto-enol, amide-imidol). No sibling tool performs tautomerization, so the agent can route to it unambiguously.

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 says what the tool does but never when to use it, when not to, or what alternative to prefer. It offers no prerequisites (e.g., input must be a valid SMILES) or context for choosing it over covabasic_canonicalize/standardize.

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