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Tomorrow Central: Cloud Cost Sentinel

Get one linked cloud account

get_connection
Read-only

Get one cloud account connection: status, region, and last error if any.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connection_idYes

TDQS

A3.7/5.0
Behavior3/5

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

The readOnlyHint annotation already indicates this is a safe read operation. The description adds that it returns status, region, and last error, but does not disclose behavior for invalid IDs or error responses. Given annotation coverage, 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.

Conciseness5/5

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

The description is a single, front-loaded sentence that uses concise wording to convey the core functionality. Every word earns its place without unnecessary detail.

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

Completeness4/5

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

For a simple get-by-ID read operation, the description covers the main return fields and is reasonably complete. It lacks error handling details, but given the simplicity and existing annotation, it is sufficient for an agent to use correctly.

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

Parameters2/5

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

The schema has a single connection_id parameter with no description (0% coverage). The description does not elaborate on what connection_id refers to, how to obtain it, or any format expectations, relying solely on the parameter name. This leaves the agent without sufficient guidance.

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 'Get one cloud account connection' with a specific verb and resource, and lists the returned fields (status, region, last error). This distinguishes it from sibling tools like list_connections and verify_connection.

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

Usage Guidelines3/5

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

The description implies usage for retrieving a single connection by ID but does not explicitly mention when to use this over alternatives such as list_connections or verify_connection. No exclusions or alternative guidance is provided.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: connection lifecycle (create, verify, get, list), job lifecycle (run, get status, get result), and findings (list). Even get_job_result and list_cost_findings are clearly differentiated as raw vs. analyzed data, and whoami/list_tools_available serve metadata purposes.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (create_, get_, list_, run_, verify_). The only outlier is 'whoami', which breaks the pattern but is a recognizable convention for account identification. Overall naming is predictable and readable.

Tool Count5/5

With 10 tools, the set is well-scoped for a cloud cost scanning platform. Each tool serves a clear purpose in the connection-scan-result workflow, with no redundancy or bloat.

Completeness3/5

The core scan workflow is covered (connect, verify, scan, get job, get findings), but there are notable gaps: no tool to delete/disconnect a cloud account, and no way to list past jobs or retrieve results without a prior job_id. These missing lifecycle/history operations could force agents to rely on external state or fail when context is lost.

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