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

With annotations only declaring it is a non-read-only, non-destructive, non-idempotent write, the description adds real behavioral context: the title and answer become a published knowledge article visible to other asking agents, nothing is sent to the customer, and a repeat call replaces the previous answer. That replace semantics directly informs how the non-idempotent hint should be interpreted.

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 sentences, front-loaded with the action, then side effects, then the re-answer rule. No filler and nothing repeated from the schema.

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 four-parameter write with no output schema, the description supplies the workflow source (gaps list), the side effect, the audience, and the repeat-call behavior. Nothing an agent needs to invoke this correctly is missing.

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 every parameter (including the title-as-question mapping and the in_workspace override) is already documented in the schema. The description adds no syntax or format detail beyond what the schema provides, so the baseline 3 is appropriate.

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?

States a specific verb and resource ('Answer a question from knowledge.gaps_list') and names the sibling tool that produces the input, so the agent can distinguish it from knowledge_gaps_list and knowledge_query without opening a schema. The downstream effect (publishes a knowledge article) is also stated.

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?

Clearly establishes the precondition: you answer a question that originated in knowledge.gaps_list. It also notes that answering again replaces the prior answer, which is a usage-relevant condition. It stops short of naming explicit alternatives (e.g., knowledge_query or notes_save) or stating when not to use it.

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