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Lovie Company Formation

Get Savings Summary

insight_get_savings_summary
Read-only

Summarize savings for a company: identified (OPEN impact), estimated (marked-done projections), and realized (verifier-confirmed), with a per-detector-type split.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toMonthNo
companyIdYesUUID value wrapper.
fromMonthNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
byTypeNo
realizedCentsMonthlyNo
estimatedCentsMonthlyNo
identifiedCentsMonthlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, so the description only needs to add context beyond that. It does so by explaining what counts as identified, estimated, and realized savings, and by noting the grouping by detector type. It does not discuss edge cases or caveats, but it adds meaningful behavioral context.

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?

A single well-structured sentence front-loads the verb and resource, then precisely defines the output categories. Every phrase adds information and there is no filler.

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

Completeness3/5

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

The tool has a rich output schema and annotations cover the safety profile, but the description omits the meaning and interaction of the optional date-range parameters. This is a notable gap for a summary tool where time scoping is likely important. Otherwise, the core behavior is adequately described.

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 only 33%, and the description does not compensate. companyId is obvious from context, but fromMonth/toMonth are left undocumented beyond their pattern and name. The description never mentions that results can be scoped by a month range, so an agent cannot confidently understand the optional parameters.

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 uses a specific verb ('Summarize'), a clear resource ('savings for a company'), and defines the three output categories with their status meanings. The per-detector-type split further differentiates it from generic insight/read siblings like insight_get_insight or read_insights.

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 given about when to choose this tool over sibling tools, nor are alternatives or exclusions mentioned. The description only implies a use case for summarizing savings, but an agent gets no help routing between this and similar insight/read tools.

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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