ollama_tool

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

With no annotations, the description must carry the transparency burden. It lists operations and mentions optional host/timeout overrides, but does not disclose side effects (e.g., delete irreversibility, network usage for pull, compute cost for generate/chat) or return value shapes. The parentheticals give minimal transparency, but significant behavioral detail is absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, tightly packed sentence that front-loads the core purpose and then lists all operations and config options. Every phrase carries meaning, and there is no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex multi-operation tool with no output schema and no annotations. The description enumerates operations but fails to explain operation-specific required parameters (e.g., chat needs messages, generate needs prompt, copy needs source/destination) or what return values the agent should expect. This leaves significant gaps for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% parameter coverage, so the baseline is 3. The description adds value by mapping operations to relevant parameters (e.g., create from Modelfile, generate single prompt, chat multi-turn), which helps the agent understand which parameters apply to which operations. However, it does not fully specify required parameters per operation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as 'Ollama LLM integration' and enumerates all supported operations with brief parenthetical explanations. This distinguishes it from the sibling tools, which are unrelated file, process, and HTTP utilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The operation list implies when to use the tool, but there is no explicit guidance on when to choose this over alternatives, no exclusions, and no discussion of prerequisites. The context is clear (use for Ollama operations) but lacks 'when-not' or alternative comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.