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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds real value beyond them by enumerating what each listed item exposes (name, type, active flag, always-attached flag, piece count), which is the behavioral payload given there is no output schema.

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 dense sentence with the resource front-loaded and the returned-field list following. It is efficient, though the elliptical phrasing ('Documents the bot answers from') makes the opening slightly harder to parse than a clean verb-first statement.

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 single-parameter list tool with no output schema, the description covers the essentials by describing the shape of each returned item. It omits pagination/ordering behavior and whether results can be filtered by type or active status.

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?

Only one parameter (project_id) exists and schema coverage is 100%, with the schema itself pointing to dosai_list_projects for the id format. The description adds no additional parameter meaning, so the baseline 3 applies.

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 names the resource (knowledge base documents the bot answers from) and enumerates the attributes returned (name, type, active, always attached, piece count), so an agent can tell it is a listing of knowledge documents. It stops short of explicitly distinguishing itself from close siblings such as dosai_read_knowledge_document or dosai_search_knowledge.

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 versus the alternatives. With dosai_search_knowledge, dosai_read_knowledge_document, dosai_add_knowledge_text and dosai_edit_knowledge_document all present, the agent gets no routing guidance at all.

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