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

With no annotations, the description carries the full burden and does meaningful work: it declares the check is free, enumerates the four possible actions including not_a_fit, states what is returned, and clarifies 'The owner always approves payment,' implying this call never itself moves money. Gaps remain on auth, rate limits, and what a 'fit range' concretely is.

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 sentences, front-loaded with the trigger, then the return shape, then the payment caveat. Only the branded opener 'Free Agent Soundcheck' is arguably dead weight; the rest earns its place.

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?

With no output schema, the description correctly picks up the burden by naming the return fields and enumerating the action values. For a free, 8-parameter advisory tool it is nearly complete, missing only the semantics of the three undocumented parameters and any auth/permission context.

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 a middling 63%, with descriptions on decision, forClients, alternative, and inputsAvailable. The description adds only the loose framing 'the owner's decision' and mentions engines/packs/practitioners, doing nothing for stakes, budgetUSD, or runsPerMonth. Baseline 3 is appropriate; it neither compensates for the gap nor wastes words.

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 second sentence gives a concrete verb and scope: check whether an engine, Power BI pack, or practitioner fits the owner's decision before any purchase. That distinguishes it from run_engine, get_pricing, and claim_purchase, though the leading brand phrase 'Free Agent Soundcheck' contributes nothing. Clear purpose, just no explicit sibling naming.

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?

'Before recommending any purchase, check whether ... fits the owner's decision' gives a clear trigger condition and a natural place in the workflow. It does not state when NOT to call it or name the sibling tools it replaces, but the context is unambiguous.

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