Loading ToolBench
A high-performance Model Context Protocol (MCP) server for comprehensive JSON file operations optimized for LLM interactions
The server defines 5 tools with clear, well-structured input schemas and moderate descriptions. All tools have proper enum constraints and required field declarations. However, descriptions lack the depth needed to guide LLM selection effectively, they state WHAT the tool does but omit WHEN to use it and critical side-effect declarations. Output schemas are completely absent from the visible code, and error handling guidance is minimal. Tool naming follows verb_noun patterns (json-read, json-write, json-query) but lacks action clarity for the help tool. The schema quality is solid (JSON Schema with types, enums, required fields) but descriptions average ~80 chars, below the 194-char production baseline. No security considerations documented. No compensation patterns for failures (e.g., backup recovery). This lands in the 'fair with gaps' category: definitions are present and structured but lack LLM-optimization and composition guidance.
Get comprehensive help about all available JSON tools and their usage patterns. This tool provides guidance on how to effectively use the JSON MCP server for various tasks.
Query JSON files using JSONPath expressions
Read and parse JSON files of any size with automatic streaming for large files
Validate JSON structure and content
Write or update JSON files with various merge strategies
Output schemas not documented in any tool definition. LLMs cannot infer what fields are returned or how to chain tools without explicit response structure.
Descriptions are generic and lack LLM-optimization guidance. Missing: WHEN to call this tool instead of alternatives, what side effects occur, and what data is available before calling. Average description length ~80 chars vs. production baseline of 194 chars.
json-write tool has no warning that mode='replace' is destructive and not reversible without the backup feature. Error handling does not guide LLMs on recovery when data loss occurs.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 52 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 43 | 2024-11-05+ | v1 |
Streaming and pagination behavior is referenced in parameter names (offset, limit, json_path) but never documented. LLMs cannot determine when streaming activates or how to iterate large files.
json-help tool description ('Get comprehensive help...') is vague about what data it returns and how its output differs from reading documentation. The enum values (overview, reading, etc.) suggest it's a discovery tool, but this is not explicit.
No parameter documentation for offset and limit in json-read explains semantics: does offset apply to items or bytes? Does limit apply to array elements or result size? These ambiguities force LLM guessing.
No error handling guidance. Tool definitions have no description of error cases (file not found, invalid JSONPath, malformed JSON, permission denied) or what recovery steps the LLM should take.
file_path parameter has no description of path resolution (relative to cwd? absolute required? home directory expansion?). No guidance on whether paths outside a sandbox are allowed.