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

With no annotations supplied, the description carries the disclosure burden and does the most important part: it declares this is a public read requiring no API key, and scopes the output to a summary of 30 US sector baskets plus the latest close. It leaves unstated the read-only/mutation profile in explicit terms (only implied by 'read'), any rate limits or caching, and what happens on failure.

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?

Two sentences, both earning their place: the first front-loads the no-key access condition and the returned content, the second routes to the key-based alternative. No filler or restatement of the title.

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?

There is no output schema, so the description must describe returns — and it does, naming the leader/laggard comparison, the metrics (average % move, breadth), and the green count. Combined with the explicit key requirement, an agent has everything needed to call and interpret it.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline applies. No misleading hints about inputs are given.

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 concrete verb and resource ('public read of the Sector Pulse board') and enumerates exactly what the payload contains: leading/lagging sector baskets with average % move and breadth, the green count, and the latest close's leader and laggard. It explicitly contrasts itself with get_sectors, so an agent can separate the two without opening either schema.

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?

Gives the selecting condition directly: use this when no API key is available or a summary is wanted, and use get_sectors with a key when all 30 rows are needed. Both the when and the alternative are named explicitly.

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