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

With no annotations, the description carries the full burden, and it does disclose meaningful behavior: it handles 'search, filtering, scoring, and ranking in one call' and returns 'curated, ranked results with explanations.' That tells the agent the composite work done internally and the shape of the return. It stops short of stating read-only safety or any latency/determinism characteristics.

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?

Front-loaded with purpose, then routing guidance, then examples. All sentences earn their place, though four examples is on the heavier side; the tradeoff is justified for a natural-language entry-point tool.

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?

No output schema exists, but the description compensates by stating results are 'curated, ranked' and include 'explanations,' so the agent knows what comes back. Combined with clear routing guidance and a fully documented schema, it is complete enough for correct invocation.

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%, so the baseline is 3, but the examples add value beyond the schema by showing how free-text questions map to implicit constraints (open source, self-hosted, MCP support, budget, team size). It still doesn't explicitly direct the agent to the structured 'constraints' object, keeping it just above baseline.

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?

States a specific verb+resource ('Get AI-powered tool recommendations') and immediately scopes it to a specific need. It explicitly names the siblings it replaces (search_listings + get_listing + compare_listings), so an agent can distinguish it from the other nine tools without opening a schema.

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?

Explicitly declares itself 'the recommended starting point' and gives a concrete when-not: 'Use this instead of chaining search_listings + get_listing + compare_listings.' The natural-language examples further anchor when to reach for it.

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