Waynesville Smart Storage

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

With no annotations, the description carries the full burden and does well: it discloses that nothing is reserved or charged until the recipient acts, that the link is secure and pre-filled, and that the person's consent to be contacted at the given email is required. Missing details like link expiry or required permissions keep 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 produces, followed by the recipient flow and the consent prerequisite. No filler or redundancy.

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 6-parameter creation tool with no annotations and no output schema, the description explains the workflow and side effects well but leaves three parameters undocumented and never indicates what the tool returns (presumably the link itself). Adequate but with clear 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 only 17% (just size), so the description must compensate. It clarifies that size/type must correspond to available inventory and that email is the contact-consent channel, but phone, first_name, and last_name are unexplained in both the schema and the description.

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 (create a booking link) and constrains scope to a size/type that is currently available, which is concrete enough to distinguish it from the read-only siblings. It never names get_facility_info or list_available_units, so the agent must infer that availability must be checked first.

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 'currently available' constraint and the consent prerequisite imply the right context for calling it, but there is no explicit when-to-use, when-not-to-use, or named alternative. The agent is left to infer that list_available_units precedes this call.

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. It implies a static, read-only informational lookup and discloses the content categories returned, but says nothing about data freshness, permissions, or response shape. For a zero-parameter read tool the residual risk is low, so this is adequate but not rich.

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 front-loaded sentence with no filler, and the three returned fact categories are packed in efficiently. Slightly terse given it never states the tool's action verb.

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, no output schema, and no parameters, the description is nearly the only documentation, and it covers the essential scope: which facts come back. It is complete enough to call correctly, though a hint about when the data is useful (e.g. onboarding, contact questions) would round it out.

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, so there is nothing for the description to disambiguate; baseline 4 applies. The description appropriately avoids inventing argument semantics.

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?

Identifies the specific resource (facility facts for Waynesville Smart Storage) and enumerates the payload: contact, website, and how renting works. This clearly distinguishes it from create_booking_link and list_available_units, though it lacks an explicit verb like 'retrieve' and reads as a noun phrase.

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 for general facility/contact/renting-process questions, in contrast to the two sibling tools that act on bookings and units. 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?

No annotations are provided, so the description carries the full behavioral burden. It does disclose the returned fields (price, admin fee, availability count) and that filtering is optional, which is genuinely useful given there is no output schema, but it says nothing about auth requirements, rate limits, data freshness, or pagination.

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 tight sentences with no filler, and the filter semantics are stated compactly. It front-loads return content rather than the action verb, which is slightly unusual but still informative.

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 2-param read tool with no output schema and no annotations, the description covers the payload and filter behavior reasonably. It is missing the default behavior when no filter is supplied (all units?) and any note on data freshness, which matters for an availability listing.

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 only 50% — the enum for 'type' has no schema description — and the description compensates by naming the two valid enum values ("drive_up", "climate_controlled") and giving a size example ("10x10"). This adds meaning beyond the schema for the undocumented 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?

The description clearly conveys the resource (available storage units per size/type) and the payload (monthly price, admin fee, unit count), so an agent knows what it will get back. It does not, however, explicitly differentiate itself from the sibling get_facility_info or create_booking_link.

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?

"Optionally filter by size and/or type" tells the agent the filters are optional, which implies the tool can be called unfiltered, but there is no when-to-use/when-not guidance and no routing against the sibling tools. Usage is only implied.

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