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

With no annotations, the description carries the full disclosure burden. It usefully reveals a behavioral trait beyond the name: modules flagged coming_soon cannot be launched, which affects downstream tool selection. However, it says nothing about the read-only nature, response shape, or whether results are cached/static, so the coverage is partial.

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?

Three short sentences, each doing distinct work: what it returns, when to call it, and a constraint on the returned data. No filler and the most actionable content ("call this first") is near the front.

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?

There is no output schema, so the description must convey the return value, and "what each one needs and produces" plus the coming_soon status gives an agent a usable mental model of the catalog. It stops short of describing the exact fields per module, but it is sufficient for a zero-parameter discovery tool.

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 clarify and the baseline is 4. The description correctly does not invent or reference any arguments.

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 resource (outsend data modules) and what the listing contains (what each module needs and produces), which cleanly separates it from the job/pipeline/veille listing siblings. The verb is implicit ("Catalog of...") rather than an explicit action, but an agent can still identify the operation unambiguously.

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?

"Call this first to know what is possible" gives explicit ordering guidance for the workflow, which is exactly the kind of when-to-use direction that helps an agent sequence calls. It does not name alternative tools or a when-not condition, but for a discovery/catalog tool no meaningful alternative exists.

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