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

DestructiveHint is already true, so the description builds on that: it reveals that the color lives in DBML, edits the sourced document, and is visible to every collaborator. This is valuable side-effect disclosure beyond the annotation, though it doesn't delve into undo/rollback or failure modes.

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?

Three concise sentences, each earning its keep: the core behavior, the persistence effet, and a workflow recipe. No redudant or filler text.

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 simple setter with an output schema, the description adequately covers purpose, side effects, and surrounding workflow. It doesn't discuss permissions or edge cases, but the destructiveHint plus persistente context makes the operational impact clear enough for an agent to proceed.

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 covers all three parameters at 100%, so baseline is 3. The description supplements by giving a concrete color example (#f6d55c), clarifying the table parameter with a discovery path via list_tables, and emphasizing the null/omission behavior. This adds practical meaning 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 clearly specifies the action ('Set a table's header color') and the resource (table), and includes the important nuance of passing no color to clear it. This differentiates it well from sibling tools like list_tables or get_board_image.

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 explicit workflow guidance: use list_tables to find the table id, and pair with get_board_image to observe the result. It stops short of naming disfavored alternatives or specifying when not to use it, but the context is clear enough.

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