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grp-docx-mcp

grp-docx-mcp

by Arvindh95Censof
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_run_color

Change the font color of a specific text run in a Word document paragraph using a hex color code (without #). Provide the paragraph ID, run index, and color value.

Instructions

Set the font color of a specific run in a paragraph.

Args: para_id: paraId of the target paragraph. run_idx: Zero-based index of the run. color: Hex color without # (e.g., "FF0000").

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": {
      "para_id": "<para_id>",
      "run_idx": "<run_idx>",
      "color": "<color>"
    },
    "name": "set_run_color"
  }
}

Input Schema

NameRequiredDescriptionDefault
colorYes
para_idYes
run_idxYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.4

TDQS

A4.3/5.0
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 discloses the mutation operation but does not mention side effects, permissions, or return value behavior. The existence of an output schema partially mitigates the lack of return value clarification.

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 extremely concise with no wasted words. Every sentence provides essential information: purpose statement and parameter definitions, all in a clear structure.

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?

For a simple setter tool, the description covers the key semantic points. It does not mention immediate application or error handling, but the output schema likely covers return values. The presence of many similar sibling tools suggests the description is adequately complete.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates fully by explaining each parameter's purpose: 'paraId of the target paragraph', 'Zero-based index of the run', and 'Hex color without #'. This adds meaning beyond the schema titles.

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 'Set' and the resource 'font color of a specific run in a paragraph'. It distinguishes itself from sibling tools like set_run_font and set_run_highlight by specifying the exact property being modified.

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 provides clear parameter semantics but does not explicitly state when to use this tool versus alternatives. However, the purpose is so specific that usage context is implied, and no conflicting alternatives are apparent.

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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