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 implies a read via 'Get' but says nothing about required permissions, whether the response is scoped to peers or the whole industry, sampling method, or pagination/size limits.

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?

A single efficient sentence with the resource front-loaded and no wasted words. It is concise, though brevity here borders on under-specification rather than tightness.

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 no annotations, no output schema, and an abstract term like 'distribution', the description should explain what is returned and how it differs from sibling valuation tools. It does not, leaving significant gaps for a 2-parameter analytics tool.

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 100%, so both 'type' and 'symbol' are fully documented in the schema including the market-suffix format. The description adds no additional parameter meaning, which is acceptable given the schema already does the heavy lifting (baseline 3).

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 verb ('Get') and a resource ('industry valuation distribution and sample statistics'), so the basic action is clear. However, 'distribution' and 'sample statistics' are vague, and it does not distinguish itself from close siblings like get_industry_peers, get_industries_rank, or get_valuation_latest, leaving the agent to guess which peer-comparison tool applies.

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?

There is no when-to-use guidance and no alternative named. With roughly a dozen industry/valuation siblings, an agent gets no help deciding between this tool and get_industry_peers or get_valuation_history.

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