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

No annotations are provided, so the description carries the full behavioral burden. It discloses that the tool generates a proposal intended for human–machine co-decision, but it does not clarify side effects, whether workspace state is modified, required permissions, or what the output looks like.

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 tight sentence that front-loads the trigger and immediately names the deliverable and purpose. Every clause adds information, with no filler or redundancy.

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 one-parameter tool with no annotations and no output schema, the description gives the essential trigger and outcome but omits side-effect caveats, alternative tool routing, and any hint of the return shape. It is minimally viable but leaves room for an agent to misjudge consequences.

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 fully documents the only parameter, work_id, with 100% coverage, so the description need not repeat it. The description adds no parameter-specific meaning beyond the schema, matching the baseline for fully covered parameters.

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 a specific action ('generate'), a specific deliverable ('Space Expansion Proposal'), and a clear trigger ('when emergence events cluster'). It is distinguishable from sibling tools by its proposal-specific output, though it does not explicitly contrast itself with a sibling.

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 an explicit when-to-use condition: 'when emergence events cluster'. It also gives context that this is a human–machine co-decision channel, which helps an agent decide relevance. However, it does not mention alternatives or when not to use it, so it stops short of full routing guidance.

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