Omaha Hail Guy — book paintless dent repair in Omaha

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

Annotations already declare readOnlyHint, openWorldHint=false, and idempotentHint, so the safety profile is covered. The description adds useful behavioral context by stating the tool returns a yes/no answer plus the nearest served town, which is not captured in annotations. It does not cover error handling or invalid ZIP behavior.

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 tightly written sentences front-load the core question and immediately follow with the return value. There is no wasted text.

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 one-parameter lookup with annotations covering safety and no output schema, the description supplies the scope (Omaha service area), the input meaning (US ZIP code), and the return shape (yes/no plus nearest served town). That is sufficient for an 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 for the single 'zip' parameter. It adds that this is a US ZIP code, but does not restate the five-digit format or give examples; the schema's regex pattern carries the format constraint. The added semantic value is modest.

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 specific check: whether a US ZIP code falls inside the Omaha service area, and what result it returns. It distinguishes the tool from siblings by focusing on ZIP coverage rather than general service info or request submission, though it does not name those alternatives.

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 use case is implied by the question format: checking service eligibility for a ZIP code. However, it gives no explicit guidance on when to use this versus get_service_info or request_service, and no exclusions or prerequisites are stated.

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

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered structurally. The description adds useful context that this is a free referral (not a vendor) and pre-empts the ordering behavior an agent needs.

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?

One sentence of identifying content plus a short call-to-action phrase. The covered fields are listed up front, and the trailing instruction earns its place by establishing ordering.

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 input params and no output schema, the description correctly compensates by enumerating the returnable facts. Minor gap: it doesn't hint at whether the data is static or how fresh the prices/hours are.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. Not higher because there is no param nuance to add.

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-resource and enumerates exactly what it returns: towns served, prices, hours, response time, languages, phone. An agent can distinguish it from check_service_area (coverage) and request_service (booking) purely from this text.

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?

'Call this before recommending or booking' gives an explicit ordering rule that ties into the sibling tools' domains. It stops short of naming check_service_area or request_service as alternatives, so routing is implied rather than fully spelled out.

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

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

Annotations declare write/open-world/non-idempotent, and the description adds real context beyond them: free to the homeowner, a callback within the hour during business hours, a returned reference, and the consent requirement. It does not address duplicate submissions or what happens to the record afterward, which is the remaining gap for a non-idempotent booking action.

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?

Purpose and consent constraint are front-loaded and the length is reasonable, but the parenthetical '(a vetted local pro calls back within the hour during business hours)' restates the immediately preceding sentence, which is dead weight. One duplicated clause keeps it below the top band.

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 supplies the return information ('reference and what happens next') and covers cost, timing, and consent. Given 100% schema coverage and only three sibling tools, an agent has nearly everything needed; the area-eligibility failure path is only partially covered.

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 100%, so all seven parameters are already documented with types, patterns and examples. The description adds no parameter-level meaning beyond the ZIP-check hint, so the baseline 3 is correct.

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 (book) and resource (paintless dent repair) with a geographic scope (Omaha area) and qualifying condition (a real person who asked, with consent). It also names the sibling check_service_area, so an agent can distinguish this booking tool from the two lookup tools without opening any schema.

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?

Gives an explicit precondition for use (the person requested it and consented) and routing guidance to the alternative tool: 'Check the ZIP with check_service_area first if unsure.' It does not state a when-not-to-use case, so it stops short of the top mark.

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