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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_billing_invoice_enterprise_detail

Retrieve detailed billing invoice information for enterprise accounts by providing the invoice ID to access specific transaction records.

Instructions

Call the cldkctl_billing_invoice_enterprise_detail endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
invoice_idYesID of the invoice
Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to do so: it does not indicate if this is a read or write operation, what permissions are required, if it has side effects, rate limits, or what the output looks like. The phrase 'Call the... endpoint' is generic and reveals nothing about the tool's behavior, leaving the agent with significant uncertainty.

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

Conciseness2/5

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

While concise, the description is under-specified and fails to convey essential information. A single sentence that merely rephrases the tool name does not earn its place; it lacks substance. True conciseness balances brevity with clarity, which is not achieved here—it's sparse rather than efficiently informative.

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

Completeness1/5

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

Given the tool's complexity (likely involving billing/invoice details), lack of annotations, and no output schema, the description is severely incomplete. It does not explain what the tool returns, its purpose, usage context, or behavioral traits. For a tool that presumably retrieves sensitive billing data, this omission is critical and leaves the agent unable to use it effectively.

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, with the single parameter 'invoice_id' clearly documented as 'ID of the invoice'. The description adds no additional semantic context about the parameter (e.g., format, source, or constraints). According to the rules, when schema coverage is high (>80%), the baseline score is 3, as the schema adequately covers parameter meaning without help from the description.

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

Purpose2/5

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

The description 'Call the cldkctl_billing_invoice_enterprise_detail endpoint' is a tautology that merely restates the tool name with 'Call the' added. It does not specify what the tool actually does (e.g., retrieve details, generate, or modify an enterprise invoice), nor does it distinguish it from sibling tools like 'cldkctl_billing_invoice_enterprise' or 'cldkctl_billing_invoice_sme_detail'. This provides minimal actionable information to an agent.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context (e.g., enterprise vs. SME billing), or differentiate it from related tools like 'cldkctl_billing_invoice_sme_detail' or 'cldkctl_billing_history'. An agent would have no basis to choose this tool over others without additional context.

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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