assistant_threads_set_status

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

With no annotations, the description must disclose behavioral traits. It only states 'Set,' implying mutation, but provides no details on side effects, valid status values, or error conditions, leaving the agent uninformed.

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 description is a single sentence, which is concise but under-specified. It does not violate conciseness, but fails to include necessary details, making it less effective than it could be.

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?

Given the missing parameter descriptions and no behavioral insights, the description is incomplete. An output schema exists but is not described, and the tool's complexity is not addressed.

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?

The input schema has three required parameters with no descriptions. The description does not explain channel_id, thread_ts, or status, despite 0% schema coverage. While channel_id and thread_ts are common Slack concepts, the lack of status enumeration is a significant gap.

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 states the verb 'Set' and the resource 'status for an AI assistant thread,' making the primary purpose unambiguous. However, it does not explicitly differentiate from sibling tools like assistant_threads_set_title, relying on the name for distinction.

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?

No usage guidelines are provided. There is no information on when to use this tool versus alternatives like assistant_threads_set_suggested_prompts, nor any context on prerequisites or typical scenarios.

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