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legalpulse

Access global legal intelligence for individuals and small businesses: generate demand letters, review contracts, and get guidance on tenant, employment, business, estate, consumer, small-claims, IP, and rights issues via pay-per-query API.

Instructions

LegalPulse: Global legal intelligence API — 10 endpoints covering the full legal lifecycle for individuals, entrepreneurs, and small businesses. Demand letter generation ($0.25), contract analysis + red flag iden

Coverage: Global

Endpoints: • letter ($0.25): Advocacy letter writer • contract ($0.10): Contract clause review • tenant ($0.10): Tenant rights by state • employment ($0.10): Employment law rights • business ($0.10): Business formation comparison • estate ($0.10): Estate planning checklist • consumer ($0.10): Consumer rights — FDCPA, FCRA, FTC • small-claims ($0.08): Small claims court guide • ip ($0.10): Intellectual property guide • rights ($0.08): Know your rights

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoResponse language code (en | es | fr | de | zh | hi | ar | pt | ja | ko | etc.)
typeNotype
issueNoissue
stateNostate
actionYesWhich endpoint to call. Options: letter | contract | tenant | employment | business | estate | consumer | small-claims | ip | rights
amountNoamount
clauseNoclause
outcomeNooutcome
recipientNorecipient
situationNosituation
entity_typeNoentity_type
contract_typeNocontract_type
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It only lists endpoints and prices, without disclosing behavioral traits like authorization needs, rate limits, or data handling. This is insufficient for a tool with 12 parameters.

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

Conciseness3/5

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

The description is front-loaded with the tool name and purpose, but it is verbose due to listing all endpoints with prices. It could be more concise while retaining clarity.

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 12 parameters and 10 endpoints, the description is too brief per endpoint. It lacks details on how to use each endpoint, required parameters, and output format, making it incomplete for effective selection and invocation.

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 the schema adequately describes parameters. The description adds no further semantic context beyond listing endpoint names and brief purposes.

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 explicitly states 'LegalPulse: Global legal intelligence API' and lists 10 specific endpoints covering the legal lifecycle. It clearly differentiates from sibling tools by focusing on legal topics.

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 description implies use for legal queries by listing endpoints, but it does not provide explicit guidance on when to use this tool vs. alternatives, nor does it mention when not to use it.

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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