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get_license_optimization

Read-only

Analyze software license usage to identify underutilized licenses and recommend cost-saving optimizations.

Instructions

Analyze software license usage and recommend optimizations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
software_nameNoOptional filter by software name
threshold_pctNoUsage threshold percentage (default: 80)
Behavior3/5

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

Annotations already indicate read-only behavior (readOnlyHint=true). The description adds context about 'analyze' and 'recommend', implying analysis is performed. However, it does not disclose if any data is mutated, which is consistent with annotations.

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, concise sentence that conveys the core functionality without unnecessary fluff. It is front-loaded and efficient.

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?

The description lacks details about what the tool returns (e.g., recommendations format, whether it's a list or narrative). Since there is no output schema, the description should clarify the output to set proper expectations.

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?

Schema description coverage is 100%, meaning both parameters are already documented in the schema. The description does not provide additional semantic information beyond what the schema already offers.

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 clearly states the tool's purpose: analyzing software license usage and recommending optimizations. It is specific enough to distinguish from the sibling 'get_license_compliance', which likely focuses on compliance rather than optimization.

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 use this tool versus alternatives like 'get_license_compliance' or 'list_software_licenses'. The description does not specify prerequisites or contexts where it is most appropriate.

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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