Dependency health

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and network-access profile is covered. The description adds that results span four ecosystems and include CVE/deprecation counts, but says nothing about pagination, cost, or freshness of the data source.

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, both earning their place: the first states scope and data covered, the second states the invocation trigger. Front-loaded and free of filler.

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?

With no output schema, the description carries the burden of signalling the return content, which it does by naming freshness, deprecation and CVE counts. The only gap is return shape/pagination, minor for a read-only listing tool.

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 all four parameters (limit, sort_by, include_dev, ecosystem_filter) are documented with defaults and enum meanings in the schema itself. The description adds no parameter-level detail, 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 names a concrete verb-less but specific resource: version freshness, deprecation and CVE counts across npm/Rust/Python/Go. An agent can tell it produces a dependency-health report. However, it does not distinguish itself from close siblings such as vulnerability_scan or dependency_check, leaving overlap ambiguous.

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?

It gives a clear trigger: 'Call when the user asks whether their dependencies are outdated, stale or need updating.' This is explicit when-to-use guidance. It stops short of naming alternatives or when-not-to-use, so the agent must infer that vulnerability_scan handles deeper security work.

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