list_projects

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

With no annotations present, the description carries the behavioral disclosure burden. It does add the prerequisite 'PackageTrack API key' and hints at read-only output, but it omits potential failure modes, network/auth behavior, and whether the operation mutates anything. Partial coverage, so a 3.

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 focused sentences deliver the resource, the metric breakdown, and the authentication requirement without any filler. Information is front-loaded and each clause earns its place.

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 zero-parameter tool with an output schema, the description is largely self-contained. It does not explain edge cases or error handling, but the mention of the API key and project provenance covers the main operational context an agent needs.

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 tool has zero parameters and the schema coverage is 100% (vacuously), so per the rubric the baseline is 4. The description adds no parameter-specific meaning because there are no parameters, but it does clarify the data scope (user's pushed projects), which complements the empty 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 clearly identifies the resource ('the user's projects on PackageTrack') and the specific metrics returned (dependencies, comparable archive counts, behind/withdrawn status). It does not explicitly name or contrast sibling tools, so it earns a 4 rather than a 5.

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?

No guidance is provided about when to choose this tool over siblings like project_report or search_packages. The description only states the tool's context and the API key requirement, but never gives usage decision criteria.

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