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

No annotations are provided, so the description carries the full burden. It usefully discloses the shape of the result (a /100 score, 10 quality criteria, price, estimated intrinsic value), which tells the agent this is a read-style analytical tool, but it says nothing about failure behavior for an invalid ticker, data freshness, or performance characteristics.

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 concrete return contents front-loaded. The second sentence is largely a marketing-style claim ('l'outil de référence') that adds marginal value, but it is brief and does not bloat the definition.

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 no output schema, the description correctly compensates by enumerating the returned fields, which is the key information an agent needs. It stops short of covering error handling or data freshness, but for a single-parameter read tool it is largely 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?

There is only one parameter and schema description coverage is 100%, with the schema itself giving a ticker format example (AAPL, MSFT, MC.PA). The description adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 verb and resource ('Retourne le Score VI ... le cours et la valeur intrinsèque estimée') and enumerates exactly what is returned, so an agent knows what the tool produces. However, it does not distinguish itself from close siblings such as get_valuation_metrics or analyze_stock, which also touch valuation, leaving some ambiguity about which 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 explicit when-to-use guidance or comparison against the nine sibling tools. The phrase 'C'est l'outil de référence pour interroger Valeur Intrinsèque' asserts primacy but never says when this tool is preferable to get_valuation_metrics or when it should not be used.

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