update_dataset_topic_description

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it's an update operation but doesn't mention permission requirements, whether changes are reversible, rate limits, or what happens to existing descriptions. For a mutation tool with zero annotation coverage, this is insufficient.

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 efficiently structured with a clear purpose statement followed by Args and Returns sections. Every sentence serves a purpose, though the 'Returns' section could be more informative beyond 'Success message'.

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 3-parameter mutation tool with no annotations, the description provides basic purpose and parameter identification. However, with an output schema present, the description doesn't need to detail return values. The main gap is lack of behavioral context for a write operation.

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%, so the description must compensate. It lists all three parameters with brief explanations, but doesn't provide format details, constraints, or examples. The description adds basic meaning but doesn't fully compensate for the schema's lack of descriptions.

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 action ('Update topic description') and specifies it's in metadata, which distinguishes it from other update operations. However, it doesn't explicitly differentiate from sibling tools like 'update_topic_metadata' or 'update_dataset_topic_tags', which could be related operations.

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?

The description provides no guidance on when to use this tool versus alternatives like 'update_topic_metadata' or 'update_dataset_topic_tags'. It lacks context about prerequisites, typical scenarios, or exclusions for this specific metadata update operation.

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