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Compare FrontDesko with another PMS

compare_pms
Read-only

Call this when someone weighs FrontDesko against Cloudbeds, eZee Absolute, Hotelogix, Little Hotelier, or Mews. Returns the published feature-by-feature table and the full comparison URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
competitorYes

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so no safety concern needs restating. The description adds that this is a read operation returning a fixed published table and URL, but provides no further details about data source, freshness, or error behavior; acceptable given the read-only annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, trigger first, no filler. Every clause carries a distinct piece of information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-enum-parameter, read-only tool with no output schema, this description tells an agent when to call it and what it will get back. The only omitted details (URL structure, exact table formatting) are not necessary for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter 'competitor' has an enum that already enumerates allowed values, and schema description coverage is 0%. The description compensates by listing the human-readable competitors (Cloudbeds, eZee Absolute, Hotelogix, Little Hotelier, Mews) and makes clear they are FrontDesko comparison targets, adding context beyond the bare enum tokens.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific trigger ('Call this when someone weighs FrontDesko against...') and a concrete result ('Returns the published feature-by-feature table and the full comparison URL'). Naming the exact competitors differentiates it from siblings like recommend_software or get_pricing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly defines when to invoke (when comparing against the listed PMS names), which is strong usage guidance. It does not state when not to use it or point to alternative siblings, so it stops short of full coverage.

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

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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct jobs—calculating savings, checking availability, comparing competitors, pricing, recommending, and searching docs. The broad search_frontdesko_docs tool can overlap with the other informational tools, but the specific descriptions make the intended choice clear.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: calculate_, check_, compare_, get_, recommend_, search_. There are no mixed conventions or vague verbs, making the toolset predictable and easy to scan.

Tool Count5/5

Six tools is well-scoped for a hotel-software sales/support assistant. Each tool covers a distinct user need and none feel redundant with the others.

Completeness4/5

The set covers pricing, competitor comparison, documentation, live demo availability, ROI calculation, and recommendations, which are the core front-of-funnel questions. It lacks a booking or contact-sales action, but that may be intentional for a read-only informational server.