list_simulation_suites

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

No annotations are supplied, so the description bears the full disclosure burden, and it discloses almost nothing: it does not confirm this is a non-mutating read, does not mention the default page size of 50 or the 1000 cap, and says nothing about truncation, ordering, or what a returned suite contains. The definition is a one-line label rather than a behavioral account.

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?

One sentence, front-loaded with the verb and resource, with the clarifying gloss placed where it helps most. There is no filler, though the brevity is close to under-specification rather than disciplined economy.

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?

This is a simple list tool with one optional numeric parameter and no output schema, so the bar is low, and the description does define the resource. It still leaves out the things an agent needs for correct invocation at scale, namely that results are paginated by default and that the response shape is unspecified.

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 a single optional parameter and schema description coverage is 100%, so the schema already explains limit, its default of 50, and its bounds. The description adds no extra meaning about pagination semantics, which is the baseline expectation at full coverage.

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?

"Lists simulation suites" states a specific verb and resource, and the gloss "named groups of simulations" defines the entity well enough to separate suites from the sibling list_simulations and list_simulation_scenarios. It stops short of naming those siblings explicitly, so the differentiation is inferential rather than stated.

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 when-to-use guidance, no mention of when a suite is the right thing to look at versus a simulation, scenario, or personality, and no prerequisites. The only signal is the implicit one carried by the verb "Lists".

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