analyze_vendor_concentration

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

With no annotations, the description carries the behavioral disclosure burden. It states the tool 'shows' specific outputs, implying a read-only analysis, but it does not explain date-range behavior, aggregation level, or interpretation of the HHI index. The output-oriented disclosure provides some transparency but leaves significant behavioral details implicit.

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 description is a single, tightly written sentence that front-loads the tool's purpose, then explains what it shows and why it matters. Every clause adds value, and there is no redundant or filler content.

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 simple analysis tool with two fully documented optional parameters and no output schema, the description covers the core purpose, key outputs, and use case. Minor gaps remain around date-range semantics and how exactly the HHI index is computed or interpreted, but the tool is reasonably understandable and invocable as described.

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 input schema already fully describes both parameters (toDate, fromDate) with format and defaults, so description-level parameter documentation is not necessary. The baseline of 3 applies because the description adds no parameter semantics beyond the schema.

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 clearly states the tool analyzes vendor spend concentration, specifically for AP spend, and names concrete output metrics (top vendor spend%, cumulative spend%, HHI index). This makes the tool's purpose distinct from general purchase analysis or revenue-focused tools in the sibling list.

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?

The description gives clear context: it is used to assess supply-chain dependency risk through vendor spend concentration. It also distinguishes itself from the customer revenue concentration model by explicitly saying it applies to AP spend, but it does not name alternative tools or state when not to use it.

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