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

With no annotations, the description carries the full disclosure burden; it does add real behavior ('escaped cells', 'stable union of columns' implies heterogeneous rows are merged by key union). It is silent on failure modes for nested objects, output form, the 256000-character input limit, and on what workspaceToken/operationId do, which matters for an unannotated mutation-adjacent utility.

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?

A single front-loaded sentence with no filler; the conversion target comes first and the behavioral qualifiers follow compactly.

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 4-parameter tool with no annotations and no output schema, the description omits the return type, the delimiter option, and the purpose of the token/idempotency parameters. An agent can guess the happy path but not the contract for the other three inputs.

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% across 4 parameters, so the description must compensate. It meaningfully narrows the `json` parameter (a JSON-encoded array of *flat* objects, not arbitrary text), but gives no meaning for `delimiter`, `operationId`, or `workspaceToken`, leaving three of four parameters explained only by raw type/enum constraints.

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 uses a specific verb and resource ('Convert a JSON array of flat objects into CSV') plus two distinguishing traits (escaped cells, stable union of columns). It is clearly separable from siblings like json_format or json_diff, though it does not name any of them explicitly.

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 statement of when to use this tool, when not to, or what alternative to reach for when the input is nested or when a different serialization is wanted. The only usage cue is the implied one in the purpose sentence.

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