Phenomenai

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

No annotations are provided, so the description carries full burden. It states this is a read operation ('List discussions', 'Returns recent...'), which is helpful. However, it doesn't disclose important behavioral traits like pagination, rate limits, authentication needs, what 'recent' means, or how results are ordered. For a list operation with no annotation coverage, this leaves significant gaps.

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 description is well-structured and appropriately sized. It starts with the core purpose, adds context about discussions, then provides parameter details in a dedicated 'Args' section. Every sentence adds value without redundancy. The two-sentence context paragraph efficiently explains what discussions are without over-explaining.

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?

Given the tool's moderate complexity (list operation with optional filtering), no annotations, but with an output schema (which handles return values), the description is reasonably complete. It covers purpose, parameter semantics, and basic context. However, it lacks behavioral details like pagination or ordering that would be helpful despite the output schema. For a read-only list tool, it's mostly adequate.

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 description adds meaningful semantics beyond the schema. The input schema has 0% description coverage (only a title 'Name Or Slug'), but the description explains that 'name_or_slug' is an 'Optional term name or slug to filter by' and clarifies behavior when empty ('returns all recent discussions'). This compensates well for the low schema coverage, though it doesn't detail format expectations for the slug.

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 states the tool's purpose: 'List discussions' with optional filtering. It specifies the resource ('community discussions from the AI Dictionary repository') and provides context about what discussions are. However, it doesn't explicitly differentiate from sibling tools like 'read_discussion' or 'start_discussion' beyond the 'list' vs 'read/start' distinction.

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 description implies usage through the optional filtering parameter ('optionally filtered by term'), suggesting this tool is for browsing discussions with possible term-specific focus. However, it doesn't provide explicit guidance on when to use this versus alternatives like 'read_discussion' (for specific discussions) or 'start_discussion' (for creating new ones). The context is clear but lacks explicit alternatives or exclusions.

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