Structured side-by-side comparison of 2 to 4 products, each a full record plus a compact matrix (starting price, free tier, max annual discount, hidden-cost count).
| Name | Required | Description | Default |
|---|---|---|---|
| slugs | Yes | 2 to 4 product slugs, e.g. ["notion","clickup"]. |
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 describes the output structure (full record and compact matrix) but does not disclose any behavioral traits such as whether it is read-only, required authentication, error handling for invalid slugs, or rate limits. The description is basic but does not contradict any annotations (since none exist).
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?
The description is a single, front-loaded sentence that efficiently conveys the tool's purpose and output structure. It is concise without being under-specified, though a few more details could enhance clarity without significant bloat.
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?
Given that there is no output schema and the tool has moderate complexity (comparison of multiple products), the description provides a reasonable overview but leaves some gaps. It does not explain what constitutes a 'full record' beyond the matrix fields, nor how results are ordered or if there are constraints on product types.
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 schema coverage for the only parameter (slugs) is 100%, and the description in the schema already explains it accepts 2-4 product slugs with examples. The tool description adds no additional meaning beyond this, so the baseline score of 3 is appropriate.
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 tool performs a structured side-by-side comparison of 2-4 products, producing a full record and compact matrix with specific fields like starting price, free tier, etc. This distinguishes it from sibling tools like calculate_tco (which focuses on cost) or get_pricing (which returns single product pricing).
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 description implies the tool is for comparing 2-4 products side-by-side, but does not provide explicit guidelines on when to use this tool versus alternatives, such as when a single product pricing query is sufficient. No when-not-to-use or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: from TCO calculation to comparison, discovery, LLM cost estimation, negotiation guides, hidden costs, positioning, price history, and full pricing records. No two tools overlap significantly; they complement each other.
All tool names follow a consistent verb_noun pattern with lowercase and underscores, primarily using 'get_' for five tools and other specific verbs like 'calculate', 'compare', 'discover', 'estimate'.
With 9 tools, the server is well-scoped for a pricing analysis domain, covering essential queries without being overwhelming or sparse.
The tool surface comprehensively covers the pricing domain: discovery, comparison, detailed pricing, hidden costs, TCO, price history, positioning, and negotiation advice. No obvious gaps are present for the intended use case.
