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

With no annotations, the description carries the full behavioral burden. It does add genuine value by disclosing the payment model (x402: 0.02 USDC on Base, pay-per-use), which an agent needs to know before invoking. However, it says nothing about what the analysis returns, error-handling, or whether the code is sent externally, leaving meaningful gaps.

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 terse fragments with the purpose front-loaded and no filler. The input format and payment note are compact, though the bracketed pricing tag sits awkwardly after the format hint rather than being separated structurally.

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-parameter tool with no output schema, the description covers purpose, input format, and cost, which is a reasonable minimum. It omits any indication of what the analysis returns and which languages are supported, both of which an agent would benefit from given the absent output schema.

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 only labels the single parameter as 'service input', which is uninformative, so the description's format spec input='<lenguaje>||<codigo>' is essential — it reveals the required double-pipe delimiter and the language/code concatenation. This compensates well for a vague schema, though it could clarify escaping or edge cases.

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 (Analiza) and resource (errores de sintaxis en código), so the agent knows this is a syntax-error analysis tool. It does not explicitly differentiate itself from adjacent code siblings like formatear-codigo, corregir, or revisar-seguridad, but the resource is distinct enough to be recognizable.

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 never says when to use this tool versus alternatives (corregir, formatear-codigo, generar-tests), nor any preconditions. It only supplies the input encoding format, which is a parameter concern rather than usage guidance.

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