分析图片

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

With readOnlyHint=true and destructiveHint=false already covering safety, the description adds useful behavioral details: supported input forms (local path/URL), optional prompt, and provider/model overrides. It does not describe the response format or error behavior, but annotations cover the safety profile.

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 two sentences, front-loaded with the core purpose and then compactly covering the optional parameters. No redundant or extraneous information.

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?

For a read-only analysis tool with a complete parameter schema and safety annotations, the description covers the main usage aspects: input source, optional question, and provider/model configuration. It references list_providers for backend selection. A brief note on the output format would improve it, but it is sufficiently complete for an agent to invoke it correctly.

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?

All four parameters are fully described in the schema (100% coverage), and the description largely restates the schema's descriptions (e.g., image path/URL, provider switch, model override). It adds a minor reference to list_providers for discovering backend IDs, but no significant new semantics.

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 states the tool analyzes image content using a vision model, specifying the verb and resource. It is clearly distinct from the sibling tool list_providers, which only lists backends.

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 description provides clear usage context: pass a local path or URL, optionally with a question, and the ability to switch provider/model. It references list_providers for backend discovery, but does not explicitly state when not to use the tool or enumerate alternatives beyond that.

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