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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful interpretation rules for result fields (min_people, price_from vs price_basis/price_unit), but since an output schema exists much of this is redundant, and it never addresses auth, rate limits, or ordering guarantees.

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?

Purpose and usage are front-loaded, but the middle block is a dense, deeply-nested set of output-formatting instructions that reads like prompt scaffolding rather than tool docs. The internal reference ('lo stesso testo delle azioni GPT, api/oracle_openapi') is noise to an MCP agent.

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 two-parameter read-only tool with annotations and an output schema, the description covers purpose, trigger, arg semantics and result interpretation, which is more than sufficient. The main gap is the absence of any sibling differentiation, which matters given the near-duplicate 'search_experiences'.

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?

Input schema coverage is 0%, so the description must carry the load; it does so reasonably by defining 'place' with concrete examples ('Roma', 'Giappone') and bounding 'limit' ('max 30'). It still omits the default value and what happens with ambiguous or non-existent places, so it compensates well but not fully.

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 names a specific verb+resource ('Le migliori esperienze e cose da fare in una destinazione') and adds scope details (ordered by quality, booking links). It's clear what the tool returns, but it never distinguishes itself from the sibling 'search_experiences', which sounds strongly overlapping.

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?

It gives explicit positive guidance ('USA QUESTO TOOL quando l'utente pianifica un viaggio o chiede le TOP attività/esperienze di un posto'), which directly maps a trigger scenario to this tool. However, it names no alternatives and gives no exclusions, so the agent must infer when to prefer search_experiences or compare_experience.

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