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

With no annotations, the description carries the full behavioral burden, and it does disclose the return payload in useful detail. However, it says nothing about whether the call is read-only (inferable but unstated), data freshness/source, latency (a full fundamental analysis may be slow), or failure modes for invalid tickers. Read-only analysis is low-risk, but the disclosure is incomplete.

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?

Front-loaded with the core purpose in the first clause, then a compact enumeration of outputs. The list of 10 criteria is slightly verbose but earns its place given there is no output schema to describe the payload.

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?

No output schema exists, so the description must convey the return shape, and it does so adequately (profile, intrinsic value, margin of safety, /100 score, ten criteria, key financials). It is complete enough for an agent to select and call it correctly; only interpretation guidance for the score and data-source caveats are missing.

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%, including an example ticker format, so the schema already does the work. The description adds nothing about symbol semantics (e.g. exchange suffixes, whether the analysis adapts to non-US markets despite the French-language scoring method). 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 names a specific verb and resource ('Analyse fondamentale complète d'une action') and enumerates what the analysis produces (Score VI, intrinsic value, margin of safety, 10 quality criteria). This clearly distinguishes it as a composite/aggregate analysis rather than a single-metric getter, though it never names the sibling it displaces (e.g. get_intrinsic_value, get_valuation_metrics).

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 word 'complète' implies this is the full-picture tool as opposed to the granular sibling getters, so usage is implied but never stated. There is no explicit when-to-use/when-not-to-use, no mention that it subsumes get_intrinsic_value or get_valuation_metrics, and no prerequisites (e.g. whether deeper data is needed for certain tickers).

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