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, and it discloses nothing. It does not say what the result looks like, what languages are supported, or how confidence is reported.

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 single short sentence is technically concise, but it is under-specified rather than efficient: it duplicates the title and provides zero information. Conciseness here reflects absence of content, not disciplined editing.

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?

With no annotations, no output schema, and two ambiguous undocumented parameters, the description leaves the agent with nothing to determine correct invocation. It is entirely inadequate for even a simple detection tool.

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 nominally 100%, but both parameter descriptions are generic filler ('Text to process' and 'Input to process') and the two parameters, 'text' and 'input', appear redundant and ambiguous. The description adds no clarification about which parameter to use, so it fails to resolve the ambiguity the schema introduces.

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 'Language Guess: Language Guess' merely restates the tool name with no verb, resource, or output statement. It is a tautology, though the name itself weakly hints at language detection. No differentiation from the sibling tool x402-language-detect is offered.

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?

There is no guidance on when to use this tool, when not to, or how it relates to alternatives such as x402-language-detect. The agent is left to infer usage entirely from the tool name.

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