Live status timeline for an existing order. Requires the order id AND the email the order was placed with (both must match).
| Name | Required | Description | Default |
|---|---|---|---|
| Yes | The email address the order was placed with | ||
| orderId | Yes | The order / reference id from the confirmation email |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the order must exist and that the email and order ID must match, which hints at read-only behavior and potential validation. However, it does not explicitly state side effects, error behavior on mismatch, or authentication requirements, leaving some gaps.
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 two concise sentences, front-loaded with the primary purpose and followed by the key prerequisite. Every word contributes to the tool's understanding, with no fluff or repetition of schema details.
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 tool with only two parameters and no output schema, the description is nearly complete. It explains what the tool does (live status timeline) and the input requirements. It does not detail the timeline structure, but for a simple read-only tracker, this is an acceptable level of completeness.
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 input schema already fully describes both parameters (orderId, email) with 100% coverage. The description adds value by explaining the relationship between them—both must match—which is not encoded in the schema. This helps the agent understand the semantic constraint beyond individual parameter definitions.
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's purpose with a specific verb and resource: it provides a 'live status timeline' for an existing order. It naturally distinguishes from siblings, which focus on products, meetings, quotes, and catalogs, none of which overlap with order tracking.
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 gives clear usage context by specifying the required inputs: order ID and email, and adds the matching constraint. It implies when to use the tool (when you have these identifiers and need status), though it does not explicitly name alternatives or exclusion criteria.
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 targets a distinct action or resource: product discovery vs pricing vs orders vs meetings vs support. While get-company-info, get-site-info, and get-guide all provide reference material, their scopes are clearly separated (verified facts vs FAQ/how-it-works vs published articles). No two tools appear to do the same thing.
All tool names follow a consistent verb_noun pattern in snake_case: book-, cancel-, reschedule-, get-, search-, list-, request-, track-, reorder-, create-. Even exceptions like my-orders and my-invoices fit a possessive pattern that is predictable. No mixed conventions or vague verbs.
24 tools is on the high end but appropriate for the breadth of this server's scope: product catalog, pricing, meetings, orders, invoices, support, guides, company info, and SEO. Each tool fills a specific niche, and none feel redundant. It is slightly heavy but not overwhelming for the domain.
The tool surface covers the core workflows well: product search/details/pricing, meeting booking/cancel/reschedule, order viewing/tracking/reordering, quotes, complaints, callbacks, invoices, guides, and company information. A minor gap is the absence of a direct 'place new order' tool, but request-quote and reorder handle the necessary paths, and other interactions (e.g., complains) have clear entry points.
