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get_customer_360

Retrieve a unified customer profile with subscription, MRR, user count, and verbatim feedback by account id, email, domain, or company name. Returns matched account or empty result.

Instructions

Everything about ONE customer, resolved by id, email, domain, or company name: profile, subscription + MRR, how many users sit under the account, and their verbatim feedback. Read-only; returns the matched account, or an empty result when nothing matches. The money + people + voice join on one record — use it before answering anything about a specific account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesAccount id, email, domain, or company name.
Behavior4/5

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 clearly states the tool is read-only and returns the matched account or an empty result. It also explains the join of money, people, and voice data. No contradictions.

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?

The description is two sentences with no waste. It front-loads the purpose and packs necessary details efficiently.

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?

Despite no output schema, the description thoroughly explains what is returned (profile, subscription, MRR, users, feedback) and how results are handled (matched account or empty). This is complete for the tool's function.

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

Parameters3/5

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

The input schema has 100% description coverage for the single 'query' parameter, listing allowed types (id, email, domain, company name). The description repeats this but adds no new semantic details beyond the schema, so a baseline score of 3 is appropriate.

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?

The description clearly states the tool retrieves everything about one customer, including profile, subscription, MRR, users, and feedback. It specifies resolution by id, email, domain, or company name, distinguishing it from sibling tools which handle different tasks.

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?

Explicitly advises to use this tool before answering anything about a specific account. It also states it is read-only. However, it does not explicitly mention when not to use it or provide alternatives among siblings.

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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