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

With no annotations, the description carries the full burden of behavioral disclosure. It usefully adds that this is a real PyPI package, pay-per-use, costing 0.02 USDC on Base, and that it preserves meaning while reducing tokens. It does not disclose the return format, error behavior, or limits, but the cost warning is meaningful context beyond the basic action.

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 efficiently structured in two short sentences: the action and guarantee come first, followed by the input mapping and pricing. Every phrase earns its place, and there is no filler or repetition.

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?

For a single-string-parameter tool with no output schema and no annotations, the description covers the essential facts an agent needs: what the tool does, what to pass in, and that it costs money per use. The main omissions are an explicit output-shape statement and differentiation from similarly named siblings, but the simplicity of the tool makes this nearly 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?

The schema's only parameter is generically described as 'service input', so the description adds real value by specifying 'input=prompt to compress'. This tells the agent exactly what content to pass. Format or length constraints are not given, but the semantic gap in the schema is largely filled.

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 states a specific action—'compress a prompt to dense language, same meaning, fewer tokens'—and identifies the resource ('prompt') and the outcome. However, it does not explicitly distinguish itself from overlapping sibling tools like 'compress', 'comprimir', or 'destilar', so it is clear but not fully differentiated.

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 implies usage ('input=prompt to compress') but provides no explicit guidance about when to choose this tool over the many compression and summarization siblings, nor any exclusions or alternatives. An agent would have to guess among distilla-compress, compress, comprimir, destilar, destilar-batch, and similar tools.

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