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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered by structured data, not the description. The description's contribution is disclosing the content of the response (liveness, actions, pricing, field gaps), which matters because there is no output schema, but it says nothing about result size, stability/caching, or ordering.

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 short sentence with no filler, and the most decision-relevant item (which platforms are live) is front-loaded. The parallel 'which ... which ... which' construction is easy to scan. Minor deduction for being a bare fragment lacking a subject and verb, which makes it read as a data summary rather than a tool description.

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?

The tool is low-complexity (no parameters, no nested objects), and with no output schema the description is the only signal about return values — it covers the four content categories but not the shape of the result (array vs. map, keyed by platform name). That is an important omission for an agent that must parse the response, though the gap is small relative to the tool's simplicity.

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 input schema is an empty object with zero parameters, so per the baseline rule this scores 4. The description adds nothing about parameters, and correctly so — there is nothing to parameterize.

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 enumerates exactly what the tool surfaces: live platforms, per-platform supported actions, per-call price, and per-platform field limitations. That is specific enough to distinguish it from every sibling (all of which fetch a single resource like a post, user, or transcript) without opening a schema. It loses a point only because it is a noun-phrase fragment with no verb, so 'list/enumerate' is inferred from the name 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 statement, no prerequisite, and no pointer to a related tool. An agent must infer on its own that this is a discovery/capability-lookup call to be made before requesting platform-specific data. Nothing tells it whether to call this first, or when not to bother.

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