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

With no annotations, the description carries the burden, and it does disclose a genuinely useful behavior: only three services have published prices, the rest are quoted per work — that shapes how results should be presented. It does not describe result count, matching behavior, or what 'their pages' actually contains, and never explicitly confirms this is a non-mutating lookup.

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 tight sentences with the core action front-loaded and no filler. Minor ambiguity remains in 'with their pages,' which is never unpacked, but nothing is wasted.

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 one-parameter read tool with no annotations and no output schema, the description covers what it does, what comes back at a high level, and the pricing caveat that affects how results are communicated. The return structure ('best matches with their pages') and sibling differentiation are the only real gaps.

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 coverage is 100% and there is only one parameter, so the baseline is already high. The description still adds value by enumerating representative need phrasings (website, ecommerce store, marketing, marketplace management, India operations), which guides free-text phrasing for an unconstrained string 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?

States a specific verb and resource: 'Recommend the Alphamotion services that fit a business need,' and enumerates concrete need categories (website, ecommerce, marketing, marketplace, India operations). It never names list_services or explains the distinction, but the recommend-vs-list split is inferable from 'fit a business need' and 'best matches.'

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?

Usage is implied through example needs rather than stated as when-to-use guidance; there is no explicit 'use this instead of list_services when...' and no exclusions. An agent can guess this is the need-driven matching path, but it must infer that from the framing.

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