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

Beyond the read-only annotations, it discloses that recommendations are rules-based, capped at five, exclude existing apps, and include a rationale and live store link. It does not explain the pairing criteria or what happens when the optional app list is omitted.

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?

The definition is compact and front-loaded with the audience and use case, followed by concrete output constraints and the rules-based implementation detail. Every phrase contributes useful selection or invocation information.

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 one-parameter recommender, it covers the audience, input relationship, result count, exclusions, and per-result content, which is especially helpful without an output schema. The main gap is that my_apps is optional, yet the description only explains behavior when apps are listed.

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 schema already fully documents my_apps as the apps the user currently runs. The description reinforces that these apps drive pairing and are excluded from results, but adds no further input syntax or omitted-input behavior beyond the schema.

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 gives a specific action and resource: suggesting up to five complementary ElfHosted apps based on the user's current stack. The focus on expanding an existing setup, excluding apps already run, and providing rationales and store links distinguishes it from general browsing or comparison tools.

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 opening phrase, "For someone happy with their stack who wants more," clearly establishes the intended use case. It does not explicitly name when not to use the tool or route agents to siblings such as browse_apps for general catalog exploration.

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