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

The annotations already declare read-only, idempotent, open-world, non-destructive behavior. The description adds useful behavioral context beyond that: comments are returned newest first and include frozen position/pricing data captured at write time. It does not discuss auth or rate limits, but those are not clearly required here.

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 definition is a single dense sentence, but it is front-loaded with the operation and scope. Most clauses earn their place by describing returned data, though the sentence is long and could be easier to scan if split.

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?

With rich annotations and an output schema present, the description supplies enough context about ordering and returned fields for an agent to invoke it correctly. Pagination and limit details remain slightly under-explained, but the cursor schema carries some of that burden.

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 partial (67%): address and cursor are documented in the schema, while limit has no description. The description does not clarify parameter semantics, though 'newest first' loosely contextualizes ordering and the cursor parameter.

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 verb and resource: reading human comments on a market. It also scopes the content as newest-first, read-only, and position/reputation-tagged, which makes it distinguishable from sibling market-data tools such as news or research.

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 gives a clear implied use case — position- and reputation-tagged sentiment for trade decisions — but does not explicitly say when to prefer this over sibling tools like get_market_news or get_market_research, nor does it state exclusions.

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