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

With annotations already declaring readOnlyHint=true and openWorldHint=false, the description's main burden is to explain behavior beyond side effects. It does so by detailing the return contents: shared/unique features, pricing, platform coverage, use cases, audiences, and community engagement metrics. This is useful context not present in annotations.

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 with no filler: the first gives the core operation and scope, the second gives usage triggers and expected output. The front-loaded 'Compares 2-5 named software products' immediately answers what the tool does.

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 one-parameter tool with no output schema, the description is self-sufficient. It names the exact input, the acceptable range, the trigger contexts, and what the output will look like. An agent has everything needed to invoke it correctly and interpret the response.

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 products parameter is already documented with min/max items and an example. The description echoes this ('2-5 named software products') rather than adding substantially new meaning, so the schema can handle the heavy lifting.

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 uses a specific verb ('Compares') and a clear resource ('2-5 named software products side by side'), which precisely distinguishes it from sibling tools like peerpush_find_alternative and peerpush_product_details. It leaves no ambiguity about what this tool does.

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?

The description gives explicit usage context: it is relevant when the user asks for a comparison or wants to choose among specific named products, with a concrete example ('Vercel vs Netlify'). It does not explicitly contrast with siblings like find_alternative, but the scoping to named products is clear enough.

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