azure_search_prices

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

With no annotations provided, the description carries the full burden of behavioral disclosure, yet it offers only what the verb 'Search' already implies about read-only operation. It omits relevant behavioral traits such as pagination via the nextPageLink parameter, external API dependency, rate limits, and data freshness. For a tool with zero annotation coverage, this is a material gap.

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 filler; the principal action is front-loaded in sentence one and the usage hint in sentence two. Every word earns its place, which is the standard for conciseness.

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 10-parameter, no-annotation, no-output-schema tool, the description leaves key operational context unstated: how result pages are retrieved via nextPageLink, what response_format renders, and whether results come from an external API with latency or rate limits. An agent can craft a minimal valid call from the schema alone, but it cannot anticipate iteration or output behavior, which is the description's responsibility here.

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 phrase 'OData filters' adds meaning beyond the schema by signaling that search parameters (skuName, armSkuName, serviceName, armRegionName, serviceFamily, priceType) compose into combinable filter expressions. With schema coverage at 50%, parameters like limit, nextPageLink, and response_format remain semantically bare in both schema and description, so the description only partially compensates for the gap.

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 ('Search'), a resource ('Azure retail prices'), and a mechanism ('OData filters'), making the core function immediately clear. The closing phrase 'Use for ad-hoc price lookups' implicitly differentiates it from the comparison, optimization, and budget siblings, though it never names a sibling explicitly.

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 last sentence supplies a usage context — ad-hoc lookups rather than the structured comparison, region-optimization, and budget workflows of the eight sibling tools — so the 'when' is implied. However, it names no alternatives and states no exclusions, leaving an agent to infer which sibling handles a given scenario. This lands at 'implied usage' but not at explicit routing guidance.

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