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

The annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful behavioral context beyond that: a concrete example threshold, data source, and the cost per call ($0.02 USDC). It does not describe return shape or error behavior, but the safety profile is already covered by annotations.

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 front-loaded with the use case, followed by category scope, a concrete example, source, and pricing. Every sentence earns its place; the example is dense but directly useful for understanding expected output magnitude. No wasted words.

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?

The description richly covers purpose, example output, source, and cost, compensating somewhat for the missing output schema. However, it leaves ambiguity about how facility type is selected (no parameter exists) and what omitting the optional category parameter returns. These are meaningful gaps for an AI agent to call it correctly.

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 must compensate. It does list possible category values (EHR, staffing, food service, waste management, med-surg) and implies vendor_name is the vendor being benchmarked. However, it does not specify the exact accepted string formats, what happens if category is omitted, or how facility type is determined given no facility_type 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 states a specific verb and resource ('benchmarking a healthcare vendor quote or preparing a supply chain contract negotiation') and enumerates the exact categories covered (EHR, staffing, food service, waste management, med-surg) by facility type. This clearly distinguishes it from generic siblings like get_vendor_market_rate and specialized ones like get_ehr_cost_per_bed and get_gpo_contract_benchmark.

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 explicitly opens with 'Use when...' and gives two concrete trigger scenarios. However, it does not mention when to avoid this tool or name alternative siblings for non-healthcare or general vendor benchmarks, so it lacks explicit exclusions.

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