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

With no annotations, the description carries the behavioral burden and does add real value: it discloses that results are limited to companies IndustryLens tracks and that the response is '{ covered: false }' for untracked companies. It omits auth, rate-limit, and ordering/pagination behavior, so it is informative but not exhaustive.

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?

Three short sentences, led by the 'Use when...' trigger, then the operation, then the edge-case return. Zero filler, though the timing/return sentence could be slightly tightened.

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 three-param, zero-required read tool with no output schema, the description covers the trigger, the input form, and the notable 'covered: false' return case. It leaves the full response shape (fields per competitor, ordering) unstated, which is a minor gap rather than a blocking one.

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 name, domain, and limit are already fully documented, including the 'domain preferred' hint. The description only echoes that input may be a domain or name, adding nothing beyond the schema, so the baseline 3 applies.

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 states a specific verb and resource: it returns 'the other companies IndustryLens tracks in the same market' for a given company. That is clear and concrete, but it does not differentiate from siblings like get_competitive_profile or get_market_landscape, which an agent could easily confuse for this task.

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?

'Use when the user asks who else competes in a company's market, or wants a peer/competitor set' gives a clear triggering condition. It stops short of naming when NOT to use it or which sibling to pick for adjacent needs (e.g., market landscape vs. competitor set).

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