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cost_generate_report

Generate a monthly cost optimization report template for your cloud infrastructure. Provide the services in use and monthly budget to identify potential savings.

Instructions

Generate a monthly cost optimization report template for your infrastructure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
servicesYesList of cloud services in use (e.g., EC2, RDS, S3, Lambda)
monthly_budgetNoMonthly budget in USD
Behavior2/5

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

With no annotations, the description carries full burden of behavioral disclosure. It only reveals a monthly cadence and that the output is a template; it does not explain whether the tool contacts cloud billing APIs (the api_key parameter strongly suggests external access), whether it scrapes live cost data or produces an empty scaffold, or what the resulting template contains. These are material unknowns for a tool that accepts a secret.

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

Conciseness4/5

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

A single front-loaded sentence with zero filler: the verb leads, key qualifiers ('monthly', 'template', 'infrastructure') follow immediately. Efficient, though the brevity does trade away useful detail that other dimensions penalize.

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

Completeness2/5

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

For a tool with 3 parameters, one a security-sensitive api_key, no annotations, and no output schema, this description is incomplete. It leaves unresolved whether the call fetches real infrastructure cost data or produces a static document, what the api_key authorizes, and what the report template's structure is — all necessary for correct invocation.

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?

Schema description coverage is 67%, with services and monthly_budget documented in the schema but api_key left fully undocumented. The tool description itself adds no parameter meaning — 'monthly' merely echoes the schema and the tool name — and does nothing to explain why api_key is needed or how services relate to the report. The description fails to compensate for the api_key gap.

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

Purpose4/5

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

The description names a specific verb (Generate), a concrete deliverable (monthly cost optiization report template), and a scope (your infrature). The word 'template' meaningfully distinguishes it from the analysis/optiization actions in its sibling set, though it does not explicitly contrast it with cost_analyze_infra or cost_optimize_*.

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

Usage Guidelines2/5

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

No guidance is provided on when to pick this tool over its closest siblings — cost_analyze_infra, cost_optimize_docker, or cost_optimize_database. The intended use case is only implied by the tool name and the word 'template'; nothing tells an agent whether to reach for this vs a tool that actually analyzes or optimizes costs.

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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