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rcarmo

office-document-mcp-server

by rcarmo

word_parse_sow_template

Parse a SOW template to extract its structure: sections, headings, tables, and placeholder variables.

Instructions

Parse a SOW template to extract its structure.

Analyzes a Word document template to identify:

  • Document sections and headings

  • Tables and their purposes

  • Placeholder variables that need filling

  • Instructional text to be stripped

Example: parse_sow_template( template_path=".github/skills/statement-of-work/templates/Agile.docx" )

Args: template_path: Path to the .docx template file

Returns: Dictionary with template structure analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
template_pathYesPath to the .docx template file
Behavior1/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, but the description implies a pure read operation ('Parse', 'analyzes'). This contradiction means the agent cannot trust whether the tool modifies files. No additional behavioral context is provided.

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 uses bullet points, an example, and labeled sections (Args, Returns). It is front-loaded with the main action and efficient, though the returns section could be more specific.

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?

Lacks output schema and the description provides only a vague 'Dictionary with template structure analysis' without keys or format. Given the tool's complexity, the agent cannot reliably predict the return value. Also, no note on file access or error behavior.

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 coverage is 100% for the single parameter, and the description repeats the schema's description. The example adds marginal value by showing a relative path, but does not explain format or constraints beyond the schema.

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 it parses a SOW template to extract structure, listing specific items like sections, headings, tables, placeholders. However, it does not differentiate from the similar sibling tool 'word_extract_sow_structure', which likely does the same task, causing potential confusion.

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 explicit guidance on when to use this tool versus alternatives. The example shows usage but does not mention when not to use it or what prerequisites exist (e.g., file format, permissions).

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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