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

With no annotations provided, the description carries the full burden and it does disclose real mechanics: what each tier means (embedding present, embedding=NULL, content moved to memoria_historica) and that automatica/semantica/critico/enlazadas items are exempt. Missing are the consequences of actually executing tiering — reversibility, scope of changes per run, or the restoration path (e.g., via restaurar_historica) — which matters for a mutating tool.

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?

Compact and well-structured: purpose in the first line, then scannable bullet-point tiers, then exemptions, then the parameter. Every sentence earns its place, and the most decision-relevant info (dry_run behavior) is clearly separated under Args.

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?

The description thoroughly covers the tiering mechanics and fully documents the only parameter, and an output schema exists so return values need no explanation. It falls short on operational context: when to run this versus the maintenance/tune/compress siblings, and what happens after execution (permanence, undo path). For a tool that mutates data, that context is important.

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, and it fully explains the single parameter: dry_run=True means analysis only, False executes tiering. This conveys exactly the semantic distinction the schema cannot. The only minor gap is what 'ejecuta tiering' entails in terms of affected items or confirmation output.

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 first line states a specific verb+resource ('Gestiona el presupuesto de memoria') and the description elaborates the three-tier model (HOT/WARM/COLD) with concrete storage mechanics, making the tool's function unmistakable. It is topically distinct from most siblings, but it never names or contrasts a sibling, so differentiation is implicit rather than explicit.

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 a safe invocation pattern — dry_run defaults to analysis-only, and False executes tiering — which is genuine how-to-call guidance. However, it never states when to choose this tool over the many overlapping hipocampo maintenance siblings (maintenance, tune, compress, decay), nor any exclusions or prerequisites.

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