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contract_scan

Scan any contract, terms of service, employment agreement, or legal document for red flags — in plain English. Returns risk level, specific red flags with clause location, negotiation points, and what to push back on. Use when user pastes a contract, TOS, NDA, lease, or employment agreement and wants to know what to watch out for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoContract type hint: employment, nda, saas, lease, freelance, partnership, tos. Auto-detected if omitted.
perspectiveNoWhich party you are: employee, contractor, client, tenant, user. Default: the party signing.
contract_textYesThe full text of the contract or legal document. Paste directly (max ~6000 chars).

TDQS

A3.9/5.0
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 mentions the tool returns risk level, red flags, negotiation points, and processes in plain English. It does not specify whether the tool is read-only or stores data, which could be important. The behavioral traits are adequately but not exhaustively covered.

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 concise: two effective sentences without waste. The first sentence states purpose and scope, the second lists outputs and usage. Every sentence earns its place.

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?

Given the tool's complexity, the description covers purpose, inputs, and outputs fairly well. However, without an output schema, the description could be more precise about the format of the returned data (e.g., JSON structure). The mention of 'plain English' and specific outputs helps but leaves some ambiguity.

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% for all 3 parameters, so the description adds little extra semantic value beyond what the schema already provides. The description mentions auto-detection and default party, which is mildly helpful but not substantial.

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 verb 'scan' and the resource 'any contract, terms of service, employment agreement, or legal document'. It lists specific outputs: risk level, red flags with clause location, negotiation points. This is specific and distinguishes it from sibling tools, none of which appear to perform contract scanning.

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 explicitly says 'Use when user pastes a contract... and wants to know what to watch out for.' This provides clear usage context. However, it does not mention when not to use the tool or point to alternatives, though no obvious sibling alternative exists, it could be more explicit.

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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TDQS

A3.5/5.0
Disambiguation3/5

Many tools have distinct purposes, but there are several overlapping or redundant tools (e.g., leadsignal vs leadsignal_generate, multiple code audit tools, multiple trading proposal/journal tools, and several 'universal' entry points like zambo_help, zambo_ask, zambo_universal). Descriptions help, but the volume creates ambiguity.

Naming Consistency3/5

Naming conventions vary across prefixes (zambo_, zambot_, axis_, presence_, trading_, etc.), with some tools using single words (weather, translate) and others using verb_noun patterns. Aliases like leadsignal_generate for leadsignal break consistency. While prefixes provide some grouping, the overall pattern is mixed.

Tool Count2/5

125 tools is excessive for a single MCP server, even if the server aims to be a universal stack. This makes it overwhelming for agents to navigate and increases the likelihood of misselection. Many tools could be split into domain-specific servers.

Completeness5/5

The tool surface is extraordinarily comprehensive, covering agent identity, cross-layer orchestration, code analysis, content generation, legal scanning, lead generation, trading, on-chain data, and more. Nearly any common agent task is supported with multiple tools, leaving few obvious gaps.

Resources