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

No annotations are supplied, so the description carries the full behavioral burden; it implies a read-only listing and names the returned fields, which is useful. But it says nothing about ordering, result limits, or scope (all memories vs. a filtered set), which a bare list tool would need for safe invocation.

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 short sentences with the purpose front-loaded and the field list in a compact second sentence; nothing is wasted. It is slightly clipped rather than verbose, but cleanly structured.

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 an output schema present, the description need not explain return values, and it is complete enough to call a zero-parameter list tool. Still missing are scope, ordering, and how results relate to siblings like review_trade_knowledge, which matter for an agent choosing between them.

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 tool takes zero parameters, so the schema imposes no semantic burden and the baseline is 4. The description correctly signals that no input is required.

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 and resource ('Lista todas las memorias marcadas como conocimiento del oficio') and even enumerates the fields returned, so the agent knows exactly what set is retrieved. However, it never distinguishes itself from the similarly named sibling review_trade_knowledge, leaving ambiguity about which of the two to pick.

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 when-to-use guidance, no prerequisites, and no mention of the obvious alternative review_trade_knowledge. Usage can only be inferred from the tool name and the phrase 'conocimiento del oficio'.

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