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

With no annotations, the description carries the full behavioral burden, and it does disclose the nature of the output (a 1-5 defensibility score and an AI parity vulnerability assessment). However, it says nothing about determinism, cost, permissions, or the exact return shape, and no output schema fills that gap.

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 tightly written sentences with no filler, front-loading the concrete output (score range and parity vulnerability) before the analytic inputs. Every 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?

The description names the two outputs, which partially compensates for the absent output schema, and the schema fully covers inputs. It still omits when-to-use criteria and any behavioral expectations, leaving the definition adequate but with clear gaps for a tool with no annotations.

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%, so all four parameters are already documented in the schema, and enum values for business_model are supplied there. The description concept mentions acquisition channels, network effects, and workflow lock-in, but adds no syntax or format detail beyond the 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 gives a specific verb (calculates), a concrete resource (defensibility score on a 1-5 scale plus AI parity vulnerability), and names the underlying framework. It is unmistakably distinct from the sibling chart and investor tools without needing to say so.

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?

There is no explicit guidance on when to use this tool, when not to, or which alternative applies. The only contextual cue is the implied use case of evaluating a startup's distribution moat, which the agent must infer.

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