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

With no annotations, the description carries the full burden of behavioral disclosure. It adds one genuine behavioral trait — the warning that 'similarity does not imply product identity or interchangeability' — which meaningfully shapes how the agent should interpret results. However, it omits other behavioral context like output shape, failure modes, or what 'evidence-backed' means in practice.

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 short sentences with zero waste; the action verb and resource are front-loaded and the caveat earns its place in the second sentence. The description is appropriately sized for what it covers.

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 no annotations, no output schema, and 0% parameter coverage, the description leaves substantial gaps: what kind of ID is expected, what the returned alternatives look like, how 'rich' is defined, and what happens when no alternatives exist. An agent could call the tool, but would struggle to interpret or validate the result.

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 0%, so the description should compensate for the two undocumented parameters, but it says nothing about them. The 'id' parameter's semantics (which catalog item, what kind of identifier) are left entirely to inference, and 'limit' only gains meaning from its schema constraints.

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?

Description states a specific verb ('Find') and resource ('evidence-backed similarity alternatives to a rich catalog item'), making the core purpose clear. It is distinguishable from siblings like get_market_item and search_market, though it never names them or explicitly contrasts itself.

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?

No guidance is given on when to use this tool versus siblings such as search_market, compare_market_items, or get_market_item. The caveat about similarity not implying interchangeability is a semantic warning, not usage direction, so an agent gets no help choosing between alternatives for the same task.

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