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

With no annotations provided, the description carries the full burden of behavioral disclosure. It says the data is optional and lists allowed values, but it does not reveal whether existing insights are overwritten or merged, whether account-level permissions are required, or what confirmation or response the agent should expect. The update semantics are only implied by the tool name.

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 purpose and field list are front-loaded in a single opening sentence, and the allowed values are packed into a compact pipe-delimited list. It is efficient, though the dense formatting could be slightly easier to parse if grouped per field.

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 9-parameter tool with no output schema and no annotations, the description covers the core input data and the optional nature of the call. It is not fully complete because it lacks behavioral details such as overwrite/merge behavior, authorization requirements, and expected return value.

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 only 33%, so the description compensates by providing explicit allowed-value enumerations for use_case, team_size, volume, region, previous_provider, referral_source, and wish_chains, plus clarifying that chains are live chain slugs. It omits wish_chain_other from the description, but the schema already documents that parameter, making the gap minor.

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 action ('Tell FlexYield about the account's setup') and enumerates the exact data fields involved, so the tool's purpose is immediately clear. It also reads distinctly from sibling tools: this is about recording optional account segmentation, not retrieving usage stats or managing billing.

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 labels the data as 'optional segmentation data' and lists no required parameters, so an agent can infer when it might be useful. However, it does not explicitly say when not to use it, nor does it name alternative sibling tools for similar data-collection or setup tasks.

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