analyze_figure_for_search

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

Since no annotations are provided, the description carries full burden. It fully discloses the experimental nature, the workflow (return image, then agent must analyze and search), the required English terms, and the expected agent actions. No contradictions.

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 well-structured with sections and emoji, but slightly verbose. It includes redundant instructions (e.g., repeated reminders to search automatically) and an extensive use cases list that could be shortened.

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?

Given the output schema (not shown) and the detailed parameter descriptions, the description is highly complete. It covers input, output, workflow, rules, use cases, search types, and examples. No gaps.

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?

Schema description coverage is 0%, but the description includes an 'Args:' section that explains each parameter (image, url, context, search_type) with examples. This adds meaning beyond the schema.

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 'Analyze a scientific figure or image for literature search' and distinguishes from sibling search tools by specifying that after analysis, the agent should call search_biomedical_images or unified_search. It provides specific verb and resource.

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 explicit workflow steps, rules (e.g., English search, automatic searching), search types, and use cases. It tells the agent exactly when to use this tool and to proceed without user confirmation.

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