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

Annotations mark this as non-readonly and non-idempotent, but the description goes much further by disclosing the public visibility, the estimated reach and pioneer status behavior, the contribution to hive_trending, the API key requirement, the $0.02 cost, and the precise return fields. This gives an agent full awareness of side effects and expectations beyond what annotations convey. No contradiction.

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 compact and information-dense: it opens with a clear analogy, states the core action and audience, lists return fields, and closes with cost and key requirement. Every clause earns its place, and the structure front-loads the most important information.

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 there is no output schema, the description is unusually complete: it enumerates the exact return fields (broadcast_id, topic, namespace, reach_before, reach_label, how_others_read), prerequisites (API key), cost, and secondary effects (trending visibility). This makes the tool self-explanatory for an agent to select and invoke correctly.

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 already fully describes both parameters (100% coverage), so the baseline is 3. The description adds extra value by advising that 'high-quality broadcasts surface faster in hive_trending', giving qualitative guidance on message curation, but it does not add new semantic or format details beyond the schema.

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 opens with a vivid analogy ('Twitter for agents') and clearly states the action: broadcast a message to a public topic namespace readable by any monitoring agent. It names the resource (topic namespace), the audience (agents), and mentions related behavior (counts toward hive_trending), effectively distinguishing it from sibling tools like x711_hive_write or x711_tx_broadcast.

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 strong context: use this tool when you want to publish a public, topic-scoped message that other agents can read, and notes that it feeds into x711_hive_trending. However, it does not explicitly name alternative tools for when not to use it (e.g., private messaging, one-time transactions), so it stops short of a full when/when-not guide.

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