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legal_tm_opposition_draft

Destructive

Draft a trademark opposition by giving the legal domain agent your objective and structured inputs; it returns a tailored draft under your tenant and company scope.

Instructions

Run the legal domain agent action tm_opposition_draft.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already indicate destructive, non-idempotent, open-world behavior, so the description does not need to restate those. It adds some useful context by disclosing that the call routes through the domain-agent dispatcher under JWT, tenant, and company scope, but it does not explain side effects or what the action may modify or submit.

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

Conciseness4/5

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

The description is short, organized, and front-loaded. The first sentence is somewhat redundant with the tool name, but the routing and argument lines are efficiently written with no unnecessary filler.

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?

Even though an output schema exists, the description is incomplete for a destructive domain-agent action. It omits the actual objective of trademark opposition drafting, prerequisites, when to use it, and what inputs the structured JSON should contain, leaving an agent with only a generic dispatch shell.

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?

With 0% schema description coverage, the description must compensate, but it only says message is 'Free-text objective' and inputs is an 'Optional JSON string of structured inputs.' It gives no detail on what structured inputs the underlying action expects, what keys are valid, or how the message should be phrased, so an agent would struggle to invoke this correctly for the specific legal task.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'Run the legal domain agent action tm_opposition_draft,' which identifies the target by name but never explains what the action actually does or produces. The tool name hints at trademark opposition drafting, but the description itself is mostly a generic dispatcher wrapper and does not clearly differentiate it from other legal drafting tools.

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 use this tool versus legal_document_drafting, legal_tm_clearance_search, legal_matter_intake, or any other legal-domain sibling. The description only explains routing mechanics, not the conditions under which an agent should select this tool.

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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