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

With no annotations, the description carries the full burden and does reasonably well: it enumerates the fields returned per platform (AI-content rule, automation rule, merchant-of-record status, payout minimum, estimated human minutes), declares the tool is free, and disclaims legal/tax advice. It omits pagination or result-size behavior, but for a free read-only list this is solid disclosure.

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 tight sentences, front-loaded with the usage trigger, then the return payload, then cost and disclaimer. Nothing is padded, though the final two fragments are terse enough that they read more as bullet residue than prose.

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's enumeration of returned fields is doing necessary work, and it covers cost and legal scope. Given a one-optional-parameter list tool with no annotations, the entry is nearly complete; only pagination/volume expectations are 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?

Schema description coverage is 100%, and the single category parameter is fully documented in the schema with examples. The description only restates that results are "filtered by category" without adding format or matching semantics, so the baseline 3 applies.

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 verb and resource — listing earning platforms for an AI agent and its human — plus the scope (filtered by category). It is clearly distinguishable from get_platform in intent, though it never names that sibling or any other to sharpen the boundary.

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?

"Use when you need an overview of platforms" gives a usable trigger condition and implies the category filter's role. However, it never says when NOT to use it, nor points to get_platform or recommend for the single-platform or recommendation cases, leaving the routing to inference.

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