Loading ToolBench
Self-contained MCP server for comprehensive Ollama management with zero external dependencies
This server has 9 tools with solid naming conventions (all verb-based: list_, local_, check_, suggest_, remove_, start_, select_, test_) and complete input schemas visible in the source. However, parameter descriptions are inconsistent and sometimes sparse. Tool descriptions are present but vary in depth. No output schemas are documented, and error handling guidance is minimal. The server lacks tool annotations (readOnlyHint, destructiveHint) which would help agents understand side effects. Average description length (~100 chars) is below the 194-char baseline for production tools. Parameter documentation is uneven: some tools like 'remove_model' and 'local_llm_chat' have good param descriptions, while others like 'system_resource_check' have zero parameters documented.
List all locally installed Ollama models with details
Chat with a local Ollama model
Check Ollama server health and provide diagnostics
Remove a model from local storage
Present available models and help user select one for chat
Attempt to start Ollama server if it's not running
Suggests the best **locally installed** model for a specific task based on user needs.
Missing output schema documentation. No tool documents what fields or structure it returns. LLMs cannot plan downstream calls or extract required data (e.g., what fields does list_local_models return? Is it 'models' array or 'model_list'?). This blocks proper tool chaining and forces agents to guess.
No error handling guidance. Tools return success/error indicators but do not guide LLM on recovery: 'If the model fails to load, try suggest_models() first' or 'Ollama server is offline. Try start_ollama_server().' Without recovery hints, agents dead-end.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 59 | <=2025-11-25 | v2 |
| 2026-03-09 | D | 57 | - | v1 |
Check system resources and compatibility
Test the responsiveness of a specific model by sending a simple prompt.
Missing tool annotations. 'remove_model' is destructive (explicitly marked DESTRUCTIVE in risk field) but has no destructiveHint in the schema. 'local_llm_chat', 'list_local_models', 'ollama_health_check', 'system_resource_check', 'suggest_models', 'select_chat_model', 'test_model_responsiveness' have no readOnlyHint annotations. Agents cannot distinguish safe from unsafe tools without explicit hints.
Parameter description depth varies significantly. 'local_llm_chat' temperature param states 'Generation temperature 0.0-1.0 (default: 0.7)', good, but 'system_resource_check' has zero parameters, so no validation hints. Descriptions should state expected format/range/constraints for EVERY param. Current baselines show 100% of A+ tools have all params described.
Tool descriptions are brief (avg ~70-75 chars, well below 194-char baseline). 'ollama_health_check': 'Check Ollama server health and provide diagnostics' leaves ambiguity: does it return uptime? CPU usage? Error logs? Descriptions should state WHAT it returns and WHEN to call it vs similar tools.
'select_chat_model' description does not clarify interaction model. Does it block waiting for user input? Return a list for the agent to choose? Unclear, yet agents need to know whether this is an interactive tool (requires user confirmation) or a programmatic one (autonomous).
No pagination or result limits documented. If 'list_local_models' returns hundreds of models, LLMs will process all in one shot, wasting context. Baseline pattern requires pagination (limit, offset/cursor) and total count. Current tool lacks these.
Tool names 'ollama_health_check', 'system_resource_check', 'select_chat_model' use underscores but are inconsistent with verb clarity. 'check_ollama_health' or 'get_system_resources' would align better with the verb_noun baseline (e.g., 'get_', 'check_', 'list_'). Minor but inconsistent.