Loading ToolBench
Fixed-size binary encoding for AI agent communication. 20x more compact than JSON. Transport-agnostic. Sub-millisecond.
bytepack exposes 19 tools, but most are duplicates or framework-specific wrappers (encode/decode appear 6+ times across integrations). Core tools (encode, decode, health) have minimal descriptions (10-50 chars, well below the 194-char baseline). No input schemas visible in source, parameters are documented in descriptions only, not as structured JSON Schema. No output schemas documented. No error handling guidance. Tool names lack action verbs (encode/decode are acceptable, but health is vague). No parameter type constraints, enums, or validation rules. Framework-specific tools (BinaryEncode, binary_encode, encode_tool, encode_node) are near-duplicates with trivial differentiation, violating single-responsibility principle. No security considerations, no pagination support, no idempotency guarantees.
Decode base64-encoded binary message back to structured data.
Decode a base64-encoded binary message back to structured data.
Encode structured data into fixed-size 2556-byte binary. 20x more compact than JSON.
Encode structured data into fixed-size 2556-byte binary. 20x more compact than JSON. Use for efficient agent-to-agent messaging.
Decode a base64-encoded binary message back to structured data.
Decode base64-encoded binary message back to structured data.
Decode base64-encoded binary message back to structured data.
No input schemas visible in source code. Parameters documented only in description text, not as structured JSON Schema with types, constraints, or enums. Violates pattern:constrained-input and pattern:tool-description.
Duplicate tool definitions across framework integrations (encode/decode appear 6+ times with trivial naming variations: binary_encode, BinaryEncode, encode_tool, encode_node). Violates pattern:tool single-responsibility and wastes LLM reasoning cycles.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 34 | 2026-07-28+ | v2 |
Encode structured data into fixed-size 2556-byte binary. 20x more compact than JSON.
Encode structured data into fixed-size 2556-byte binary. 20x more compact than JSON for agent communication.
Encode structured data into fixed-size 2556-byte binary. 20x more compact than JSON.
Decode base64-encoded binary back to structured data.
Async version of decode() using aiohttp.
LangGraph node: decode state['encoded']['b64'] back to data.
Decode a base64-encoded binary message back to structured data.
Encode structured data into fixed-size binary.
Async version of encode() using aiohttp.
LangGraph node: encode state['data'] into binary.
Encode structured data into fixed-size 2556-byte binary. Use this tool to compress any structured data for efficient agent-to-agent communication. Output is 20x smaller than equivalent JSON.
Check encoder service health.
Descriptions are too short (10-50 chars, well below 194-char baseline). health() has only 'Check encoder service health' (28 chars). No WHEN/WHY guidance for tool selection. Violates pattern:tool-description.
No output schemas documented. LLMs cannot plan downstream calls or extract required fields. encode() returns {g, s, t, b64} but this is only visible in code comments, not in tool definition. Violates pattern:tool and pattern:response-shaper.
No error handling guidance. Errors from external encoder service (HTTP 500, timeouts, connection failures) are not documented. LLMs cannot determine if errors are retryable or fatal. Violates pattern:recovery-guide.