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risk-ai
by risk-ai

get_legal_cost_estimate

Estimate legal costs by practice area, complexity, and region. Returns fee ranges for hourly, flat fee, or contingency billing.

Instructions

Get estimated legal costs for a type of legal issue. Returns fee ranges by billing structure (hourly, flat fee, contingency), adjusted for case complexity and region. Complexity is the primary cost driver.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoUS state for regional pricing adjustment
complexityNoCase complexity — primary cost driver. simple: uncontested/routine, moderate: standard (default), complex: contested/litigation, high_stakes: trial/federal/appeal
descriptionNoBrief description of the issue — used to auto-classify complexity if not specified
practice_areaYesPractice area, e.g. "Criminal Defense", "Family Law", "Personal Injury"
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns estimated fee ranges adjusted by complexity and region, and that complexity is the primary cost driver. However, it does not discuss limitations, authentication requirements, or the reliability of estimates.

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?

Two sentences, no wasted words. The first sentence front-loads the purpose, and the second adds crucial detail about billing structures and cost drivers.

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?

While the description explains the inputs and general outputs, it lacks an output schema and does not fully specify the return format (e.g., structure of fee ranges). For a tool with 4 parameters and no output schema, more detail on the response would improve completeness.

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 coverage is 100% and each parameter has a description. The description adds minimal extra value beyond the schema, only emphasizing that complexity is the primary cost driver. Baseline is 3 for high coverage.

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 the tool's purpose: 'Get estimated legal costs for a type of legal issue.' It specifies outputs (fee ranges by billing structure) and distinguishes from sibling tools which focus on lawyer profiles and searches.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (cost estimation) versus siblings (lawyer-related tasks). However, it does not explicitly state when not to use it or mention alternatives.

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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