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Law.AI — Lawyer Search

search_lawyers

Search verified lawyer profiles by practice area, state, city, and bar status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity name
limitNoResults (default 10, max 50)
stateNoUS state (name or abbreviation)
offsetNoPagination offset
bar_statusNo"Active" (default), "Inactive", or "Any"
practice_areaNoPractice area, e.g. "Criminal Defense"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations, the description carries the full transparency burden. It does not disclose behavior such as default bar_status ('Active'), pagination via limit/offset, or what 'verified' means. It only states that it searches, but no side effects or data handling details are provided.

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, well-structured sentence that front-loads the verb and key object. No unnecessary words.

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 is moderately complex with 6 parameters and no output schema. The description gives a basic sense of what it does but does not mention return format, pagination defaults, or how filters combine. It is minimally viable but leaves gaps.

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%, so each parameter has a description. The description merely lists the filter fields which are already in the schema, adding no additional semantic or format details. Baseline 3 is appropriate.

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 action ('Search') and the resource ('verified lawyer profiles'), and lists the key filter dimensions (practice area, state, city, bar status). This distinguishes it from siblings like find_lawyer_by_name and get_lawyer_profile.

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

Usage Guidelines3/5

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

The context implies this is for searching with filters, but there is no explicit guidance on when to use it versus alternatives like find_lawyer_by_name, or any exclusions or prerequisites. Usage is implied rather than stated.

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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