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mcp-server-smallinvoice

mcp-server-smallinvoice

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_contact_group

Read-only

Retrieve data for a specific contact group by providing its group ID. Optionally include extra details using comma-separated keys.

Instructions

Returns data of specified contact group

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "group_id": "<group_id>"
    },
    "name": "get_contact_group"
  }
}

Input Schema

NameRequiredDescriptionDefault
group_idYesgroup ID
withNoComma separated, optional keys that should be included in the response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, making the read-only nature clear. The description adds no further behavioral context (e.g., permissions, rate limits) but remains consistent with the annotations.

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 a single concise sentence with no unnecessary words. It is slightly brief but effective for its purpose.

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?

While annotations and schema cover the basics, the description lacks details about the return data structure (since no output schema exists). It is adequate but could be more informative.

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?

Both parameters are fully described in the schema (100% coverage). The description does not add additional meaning beyond the schema, so it meets the baseline.

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

Purpose4/5

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

The description clearly states the action ('returns data') and the resource ('specified contact group'). It distinguishes from sibling tools like list_contact_groups, create_contact_group, etc., though it does not explicitly name them.

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?

There is no guidance on when to use this tool versus alternatives like list_contact_groups or update_contact_group. The description lacks contextual cues for selection.

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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