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

With no annotations, the description carries the full behavioral burden. It discloses that the tool is deterministic and uses no LLM, which is valuable, and it lists the output categories. However, it does not explicitly state whether the operation is read-only or has side effects, nor does it mention permissions, rate limits, or idempotency—gaps that matter for a POST endpoint.

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 two sentences, front-loads the tool's purpose, and then efficiently enumerates inputs and outputs. Every phrase contributes useful information without repetition or fluff.

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 absence of an output schema and annotations, the description does a good job of explaining the return values (coverage score, gaps, orphan stories, missing buckets) and the deterministic nature. It is almost complete for calling the tool, though it could be slightly richer about input expectations and safety profile.

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 0%, so the description must compensate. It names all three parameters and clarifies that 'brief' and 'requirements' are alternative sources while 'stories' are the items to check, which adds meaning beyond the schema. It still does not explain expected formats, whether both brief and requirements can be supplied together, or precedence rules, leaving some ambiguity.

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 opens with a specific role label ('Scope-completeness advisor') and then states exactly what the tool does: accepts a brief/requirements and stories, returns a coverage score, gaps, orphan stories, and missing structural buckets. This clearly distinguishes it from sibling linting and validation tools by focusing on requirement-to-story coverage rather than criteria quality or ticket formatting.

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 provides clear context by describing the inputs and outputs, implying usage when you have a brief/requirements and user stories and want to find scope gaps. It does not name alternatives or state when not to use it, so it falls short of a 5, but the context is sufficiently clear for an agent to select it.

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