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

No annotations exist, so the description carries the full behavioral burden, and it does disclose the return content: one entry per platform plus an identifier count. It stops short of stating pagination, ordering, or freshness of the counts, and 'List' only implicitly conveys that this is a non-mutating read.

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 sentences, zero filler. The what-it-returns statement is front-loaded and the sibling-routing instruction follows, which is the right priority order for an agent deciding whether to call it.

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, read-only discovery tool with no output schema, the description supplies everything needed: what is enumerated, what each row contains, and why an agent would call it before lookup_project. Nothing required for correct invocation is absent.

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 no parameters, so the baseline is 4. The description does not need to compensate for any schema gaps, and it adds useful adjacent context by naming the platform argument of lookup_project that this tool helps populate.

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 ('list every platform PulseGate records identifiers on') and even specifies the payload shape ('with how many identifiers it holds for each'). The second sentence makes the boundary with the sibling lookup_project explicit rather than leaving the agent to infer it.

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?

Gives a concrete when-to-use: call this to learn the vocabulary accepted by lookup_project's platform argument. It clearly frames the discovery workflow but does not say what to do when the platform value is already known (i.e., skip this and call lookup_project directly).

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