Document Generator MCP
Server Quality Checklist
Latest release: v1.0.9
- Disambiguation5/5
The two tools have perfectly distinct purposes: one creates PDF files and the other creates Word documents. There is no overlap in functionality or ambiguity about which tool to use for each file type.
Naming Consistency5/5Both tools follow an identical naming pattern: 'gerar_documento_' followed by the file format. This consistent verb_noun structure in Portuguese makes the tool names predictable and easy to understand.
Tool Count2/5With only two tools, the server feels thin for a 'Document Generator' domain. While it covers two common formats, there are obvious gaps for other document types (e.g., HTML, plain text) and operations like editing or converting existing documents.
Completeness2/5The tool surface is severely incomplete for document generation. It lacks support for multiple document formats beyond PDF and Word, and provides no operations for document manipulation, conversion, or template management that would be expected in this domain.
Average 2.8/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. 'Cria' implies a write operation, but it doesn't cover permissions, file storage location, overwrite behavior, error conditions, or output format details. This is a significant gap for a tool that creates files.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, though its brevity contributes to gaps in other dimensions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a PDF generation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., file path, binary data, success status) or behavioral aspects like error handling, making it inadequate for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters. The description adds no additional meaning about parameters beyond what's in the schema, such as format examples or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Cria um arquivo PDF' states the basic action (creates a PDF file) but is vague about what kind of document it creates or how it differs from its sibling 'gerar_documento_word'. It doesn't specify if it's a simple text document, formatted report, or something else, making it minimally adequate but with clear gaps in specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus its sibling 'gerar_documento_word'. The description doesn't mention alternatives, prerequisites, or specific contexts for PDF creation, leaving the agent without direction on tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states it creates a Word file but doesn't mention where the file is saved, permissions required, whether it overwrites existing files, or any rate limits. This leaves significant gaps for a file creation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to understand at a glance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that creates files with 6 parameters and no annotations or output schema, the description is insufficient. It doesn't explain the output (e.g., file location, success indicators) or provide behavioral context needed for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% description coverage, so all parameters are documented in the schema. The description adds no additional parameter information beyond what's in the schema, resulting in the baseline score of 3 for adequate but no extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Cria' (creates) and the resource 'arquivo Microsoft Word (.docx)', making the purpose evident. However, it doesn't explicitly differentiate from its sibling 'gerar_documento_pdf', which likely creates PDF files instead of Word documents.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description doesn't mention the sibling tool 'gerar_documento_pdf' or explain scenarios where one format might be preferred over the other, leaving usage context unclear.
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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