Well Prepped Life Booking

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

With no annotations, the description carries the full burden and does disclose real side effects: the customer receives a confirmation email and a team member phones them at the booked time, plus the timezone convention for the slot. It stops short of stating failure behavior (e.g. slot taken, invalid time) or permission requirements.

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?

Four sentences, front-loaded with the action and its data source; the intake sentence is long but each clause carries actionable guidance. No filler or repetition of the tool name.

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 13-parameter mutation tool with no annotations and no output schema, the description covers the required confirmation flow, the sourcing of optional fields, and the post-booking side effects. Only error/failure handling is unaddressed.

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%, so baseline is 3, but the description adds genuine semantics: the intake fields are optional and should be sourced from conversation rather than solicited, and the timezone for the slot is clarified. It doesn't add format detail beyond the schema's own examples.

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 ('Book the free 15-minute consultation call') plus the exact input source ('one of the times returned by get_available_slots'), which cleanly separates it from the sibling that only lists slots.

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?

Explicit precondition (use a slot from get_available_slots), explicit confirmation requirement (time in Pacific Time, full name, email must be confirmed with the user first), and explicit instruction on how to handle optional fields — fill from conversation, at most one or two follow-ups, don't interrogate.

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 meets it: it discloses the return content (URLs plus answers 'in our own words'), warns that answers are paraphrased, and defines the empty-result fallback to prevent hallucination. This is behavioral guidance an agent cannot get from the schema.

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?

Front-loads the purpose in the first clause, then the routing rule, then the answer-handling instructions. The topical enumeration is long but each item constrains the tool's scope usefully; no sentence is pure 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?

No output schema exists, so the description must explain returns — and it does, describing URLs and FAQ answers. Combined with routing, quoting, and empty-result guidance, an agent has everything needed to call and interpret this tool 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 100%, so both parameters (query, limit with default and max) are already documented in the schema. The description's example questions reinforce the use case but add no syntax or format detail beyond what the schema states.

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 (search) and enumerates the exact corpus it covers (service pages, city pages, guides, FAQ set), plus what it returns (real URLs and matching FAQ answers). It also distinguishes itself from a named sibling, get_services.

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 routing rule: 'Use this for ANY question get_services does not cover,' then lists concrete qualifying topics. It also prescribes downstream behavior (quote faq answers, cite URLs, say 'not published' on empty results), leaving nothing to inference.

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?

No annotations are provided, so the description carries the full burden and does so well: it discloses the return shape (a map of date to UTC ISO start times), the timezone semantics for presentation (Pacific Time), and the default search window. It omits any mention of auth requirements, rate limits, or whether slots are guaranteed, which keeps it from a 5.

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, front-loaded with what the tool lists, followed by return format, timezone handling, and the default window. Every sentence carries distinct information with 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 and no annotations, the description still covers what matters for correct invocation: purpose, return structure, timezone presentation rule, and default date range. Minor gaps (no guidance on booking the chosen slot, no mention of result volume) keep it slightly short of complete.

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 both start_date and end_date are already documented with formats and defaults. The description's "defaults to the next 14 days" restates the schema's "start_date + 14 days" default rather than adding new meaning, matching the baseline for schema-covered parameters.

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 ("List open times for the free 15-minute phone consultation") and scopes it to a concrete offering, which cleanly separates it from book_consultation and get_services without opening a schema. It stops short of 5 because it never names a sibling to disambiguate further.

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 a pre-booking lookup because the description ties it to the 15-minute consultation and a 14-day window. There is no explicit when-to-use/when-not guidance and no reference to the sibling tools, so the agent must infer the booking workflow.

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?

No annotations are provided, so the description carries the behavioral burden. The content is obviously informational (service details, pricing, onboarding), which implicitly signals a safe, side-effect-free read, but the description never states read-only behavior, freshness, or whether results are static versus dynamic. For a zero-parameter static-content tool the risk is low, so this is adequate rather than strong.

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 content sentence plus a short imperative, front-loaded with the resource description and ending with the routing cue. Efficient and free of filler, though the list-style enumeration ('pricing, and how to get started') is slightly loose.

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 annotations and no output schema, the description compensates by enumerating the categories of information returned (offering, pricing, onboarding), which is what an agent needs to decide whether this call answers a given user question. It is complete enough for a simple, parameterless info tool; only the absence of any return-shape hint keeps it from a 5.

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 no parameters and the schema is empty with additionalProperties=false, so there are no parameter semantics to explain. Per the zero-parameter baseline this scores 4; nothing in the description conflicts with 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?

The description names the concrete resource served (service offering, pricing, getting-started info) for a zero-parameter retrieval tool, so an agent knows what it will get back. It implicitly separates this informational tool from the booking-oriented siblings (book_consultation, get_available_slots), though it never names them. No explicit verb ('get'/'returns'), but the resource is unmistakable.

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 first to answer questions about the service' gives a clear directive on when to reach for it, and the 'first' ordering implies precedence over the booking siblings. It stops short of naming an alternative tool or stating when NOT to use it, so it falls just short of the top band.

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