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

With no annotations, the description carries the full burden: it adds a meaningful legal/interpretive caveat ("Une simulation n'est pas une offre de pret") that tells the agent these are indicative, non-binding entries. However, it says nothing about read-only behavior, whether the list is filtered or paginated, or what a simulator entry contains.

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 resource description front-loaded and the caveat second. Nothing is redundant, though the second sentence serves more as a disclaimer than as operational guidance.

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 zero-parameter list tool this is close to adequate, but there is no output schema and the description never indicates what fields or how many simulators come back. An agent can decide to call it, but cannot anticipate the result shape.

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 there is nothing for the description to disambiguate beyond confirming the call needs no input. Baseline 4 applies for a parameterless tool.

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 ("Liste les simulateurs indicatifs CreditLabs"), so an agent knows this is an enumeration of simulator entries, not a computation. It implicitly contrasts with the calculation siblings (calculate_amortization, calculate_monthly_payment) by framing the results as "indicatifs", though it never names those alternatives.

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 or when-not-to-use guidance and no mention of the sibling tools. The only usage signal is the caveat that a simulation is not a loan offer, which constrains interpretation of results rather than routing between tools.

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