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

With no annotations provided, the description carries the full disclosure burden, and it does well: it reveals the tool returns a fixed, non-dynamic set, lists all seven members, and notes each comes with a neutral description. It does not state the output format explicitly, but the behavioral nature of this read-only taxonomy lookup is clearly conveyed.

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?

Everything fits in one sentence with the key fact (fixed set) front-loaded before the enumeration. The long parenthetical list is valuable because it names every category the agent will receive; no sentence is wasted.

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, no-output-schema, no-annotation tool, the description is nearly complete: it names every returned value and indicates each has a neutral description. The only residual gap is the exact return structure (e.g., array of objects with id/name/description fields), but the tool's simplicity keeps this minor.

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 has zero parameters, so there is nothing to document; baseline 4 applies. The description sensibly focuses on the return content rather than inputs, and the empty schema confirms no arguments are required.

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 states a specific verb (list) and resource (the fixed set of delay cause categories) and enumerates exactly what the set contains. It clearly distinguishes itself from sibling list tools like list_policies and list_states by naming the full taxonomy of structural bottleneck categories.

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?

Usage is implied: this is the canonical taxonomy every tracked project's delay maps to, so an agent can infer it should be called to obtain the delay-category vocabulary. However, there is no explicit when-to-use guidance or contrast with sibling reference tools such as list_policies and list_states.

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