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rocketmatter-mcp

rocketmatter-mcp

by RosenAdvertising
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

list_matters

List legal matters with paginated results and optional filtering by client ID or matter name.

Instructions

List matters, paginated. Optional server-side filters: client_id (GUID) and matter_name — these are the only filters the /v1 API honors for matters.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_matters"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNo
client_idNo
page_sizeNo
matter_nameNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It honestly discloses that only certain filters work server-side, which is a critical behavioral detail. However, it omits whether the operation is read-only or any rate limits.

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 two sentences with no fluff. The first sentence states the core action, the second adds essential filter constraints. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema, the description does not need to explain return values. It adequately covers pagination and filter limitations, though it could mention ordering or search behavior. Still complete enough for a list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaning by explaining which parameters are filters (client_id, matter_name) versus pagination (page, page_size). It also clarifies the client_id is a GUID, though not explicit about format.

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 'List' and resource 'matters', mentions pagination, and specifies the only two supported server-side filters. This distinguishes it from sibling tools like list_clients or list_invoices.

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?

It explicitly states that client_id and matter_name are the only filters the API honors, guiding the agent on valid parameters. It does not provide when-not-to-use, but the context of sibling tools makes the usage clear.

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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