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

The readOnlyHint=true annotation already establishes this is a safe, non-mutating read, so the description is not carrying the safety burden. What it fails to add is anything operational: ordering guarantees, how the 'built with AI' criterion is applied, pagination behavior, or what happens when limit exceeds the result set. With annotations present the bar is lower, but the description still contributes almost no behavioral context.

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?

It is a single front-loaded sentence with zero filler, which is structurally clean. But its brevity comes from omission rather than efficiency, so it reads as under-specified for a discovery tool with an adjustable limit rather than genuinely concise.

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 simple list tool with one optional parameter, no output schema, and only a readOnly annotation, the description should at minimum clarify ordering, what 'built with AI' scopes, and how limit behaves. None of that is present, leaving the agent with a bare resource name.

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 single parameter 'limit' has 0% schema description coverage, and the description never mentions it, so its meaning (number of apps returned vs. page size), interaction with defaults, or maximum is left entirely to the schema's numeric constraints. Because the one parameter is undocumented in prose, the description does not compensate for the coverage gap.

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 phrase 'Most recently added apps built with AI' tells the agent what collection is returned and implies reverse-chronological ordering plus a domain qualifier, which is more than a bare restatement of the name. However, it is a noun phrase with no verb and no differentiation from siblings like search_apps or list_tools, so an agent cannot tell from the text alone why it would pick this tool over those.

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 prerequisites, and no mention of the alternatives (search_apps, get_app, list_tools) that clearly overlap with this listing tool. The agent must infer that this is the default browse/discovery entry point rather than a filtered search.

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