Bay Motors Auto Repair (Hayward, CA)

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

Annotations already declare readOnlyHint=true, so 'Read-only' is redundant rather than additive. The genuinely useful disclosure is 'Not a live calendar' plus 'the shop confirms every request', which tells the agent the data comes from policy, may not reflect real-time state, and that availability is not a commitment.

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 short sentences, front-loaded with what is returned before the caveats, with no filler. The 'Read-only' sentence earns nothing since the annotation already states it, so it is one sentence of waste in an otherwise tight definition.

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 single-parameter read tool with annotations covering safety and no output schema, the description is nearly sufficient: it covers scope, data provenance, and the confirmation caveat. It stops short of hinting at the shape of the returned windows, which would help an agent plan the next call.

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% for the single 'days' parameter (1–14 with min/max), so the schema already carries the semantics. The description's 'next N days' adds a marginal restatement and no format, default, or boundary nuance beyond the schema.

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 resource ('open drop-off windows') with a bounded scope ('next N days from the shop booking policy'), which is clearly distinct from siblings like request_booking, request_quote, or get_status. An agent can tell what it retrieves without opening the 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?

Usage is only implied: the agent can infer this is a pre-booking availability lookup, and 'the shop confirms every request' hints it is advisory rather than transactional. However, no sibling (e.g. request_booking) is named and there is no explicit when-to-use or when-not-to-use statement.

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=true; the description's 'Read-only' simply repeats that. It adds no extra behavioral context such as auth requirements, side effects beyond read-only, or rate limits.

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?

A single compact sentence front-loaded with 'Shop profile' and its fields. The trailing 'Read-only' is redundant given annotations, but the description is otherwise tight.

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 zero-parameter, read-only tool with no output schema, the field list gives an adequate picture of what is returned and the annotation covers safety. It lacks explicit usage context, but the core invocation needs are met.

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?

There are zero parameters, so the baseline is 4. The description correctly does not introduce any parameter semantics, and the input schema is empty.

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?

Names a specific resource (shop profile) and enumerates the fields returned, so the agent knows exactly what information this tool surfaces. It does not distinguish itself from siblings like get_status or list_services, but the resource is clear.

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?

No guidance on when to use this instead of get_availability, get_status, or list_services. The only usage signal is 'Read-only,' which is not an alternative-selection rule.

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?

The 'Read-only' line restates readOnlyHint=true, adding nothing beyond the annotation, but 'Returns no contact data' is genuine added context about the privacy scope of the response. It does not cover error behavior for unknown/invalid references.

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 short, front-loaded clauses with no filler: identity of the resource, possible values, and privacy/safety note. Every sentence 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 usefully enumerates the possible status values and states what is withheld. It is slightly short on edge-case behavior (unknown reference, expired reference) but is otherwise sufficient for a one-parameter read tool.

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% and the single parameter is fully documented in the schema (including its origin from request_quote/request_booking), so the baseline is 3. The description's 'by reference' phrasing adds no syntax, format, or length detail beyond the schema.

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?

Names a specific verb and resource (status of a quote or booking request) and enumerates the possible outcomes (requested, confirmed, declined), so an agent knows exactly what it returns. It doesn't explicitly contrast itself with siblings like request_quote/request_booking, but the read-vs-create split is clear from context.

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 only implied: an agent can infer this is the follow-up call to request_quote/request_booking once a reference exists, but the description never says when to call it or what to do if no reference is available. No alternatives or exclusions are named.

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?

"Read-only" merely restates the readOnlyHint annotation, so it earns no credit. The only genuinely additive note is "with exclusions," which hints that services may carry exclusion clauses, but it is not explained and no return shape, freshness, or failure behavior is described.

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?

A single terse sentence with the resource front-loaded and zero filler. It is arguably over-compressed rather than padded, which is the preferable failure mode.

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 trivial no-param, no-output-schema read tool the description is close to sufficient, but "plain language" and "with exclusions" are never unpacked, leaving the agent unsure what a returned service entry contains.

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 is 4.

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 names the resource (the services the shop offers) and its scope (plain language, with exclusions), so an agent can tell it apart from get_shop, get_availability, or get_status by resource. It never states the verb explicitly, but the plural resource plus the tool name makes the listing operation clear.

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?

There is no when-to-use guidance, no prerequisites, and no reference to any sibling. An agent must infer that this is the tool for enumerating offerings rather than reading them; nothing in the text routes it.

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?

With no annotations provided, the description carries the full burden and does so well: it discloses that the shop confirms or declines, that the return value is a reference plus status 'requested', and that no payment or OTP is involved. It omits auth requirements and any rate or duplicate-request constraints.

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 short sentences, front-loaded with the action, then the outcome/return, then the negative scope ('no payment, no OTP'). No wasted words and each sentence adds distinct information.

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?

There is no output schema, but the description compensates by naming the return value (reference and status 'requested'). With annotations absent, the confirmation flow and no-payment note cover most of what an agent needs, though auth/prerequisite context is still missing.

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 the schema already documents all five parameters (window format, phone, reason, vehicle, contact_name). The description adds no field-level syntax or format detail beyond what the schema provides, so the baseline 3 applies.

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 ('Request a drop-off appointment') and clarifies it creates a booking request the shop confirms or declines. It does not, however, explicitly distinguish this from the sibling request_quote, which is the key adjacent action an agent must choose between.

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 'No payment, no OTP' note usefully signals this is not a transactional checkout, and the confirmation flow implies a request-then-confirm workflow. But there is no explicit when-to-use or when-not guidance and no routing to request_quote or get_availability, leaving usage only implied.

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?

With no annotations, the description carries the full burden and does meaningful work: it discloses the asynchronous flow (the shop answers by phone or text), the return shape (a reference and status 'requested'), and that the shop confirms estimates directly rather than returning a price. It omits auth/permission requirements and error conditions.

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 short sentences, front-loaded with the purpose, and each one adds information: what it does, how the shop responds, and how confirmation arrives. No filler.

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 compensates by describing the returned reference and status, and it explains the asynchronous nature of the exchange. Minor gaps remain around failure modes and what triggers the shop's response timing.

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% and each parameter (phone format, vehicle year/make/model, symptoms, contact_name) is documented in the schema itself. The description adds no syntax or constraint detail beyond that, so the baseline 3 applies.

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 ('Ask the shop for a quote', 'Creates a request') and describes the outcome. It doesn't explicitly name the sibling request_booking or contrast itself with it, though the schema's 'Optional for a quote, required for a booking' note does the differentiation work.

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 rather than stated: an agent can infer this is for price estimates rather than scheduling, but there is no explicit when-to-use, no exclusions, and no named alternative among siblings (request_booking, get_availability, list_services).

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