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search_images

Find images by filename or path using fuzzy search. Returns matching images with metadata and CDN URLs for integration with AI assistants.

Instructions

Search for images by filename or path. Performs a fuzzy search across all your images. Returns matching images with their metadata and CDN URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term to match against filenames and paths (1-100 chars)
limitNoMax results to return (1-100, default: 20)
offsetNoNumber of results to skip for pagination (default: 0)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'fuzzy search' and that it returns metadata and CDN URLs, but lacks details on permissions, rate limits, error handling, or whether it's read-only (implied but not stated). For a search tool with zero annotation coverage, this is a significant gap.

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

Conciseness5/5

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

The description is concise and well-structured in two sentences: the first explains the action and scope, the second details the return values. Every sentence adds value without redundancy, making it efficient and front-loaded.

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

Completeness3/5

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

Given the tool's moderate complexity (search with three parameters) and no output schema, the description covers the basic purpose and return types but lacks completeness. It doesn't explain the format of returned metadata, pagination behavior beyond the 'offset' parameter, or how fuzzy search works, leaving gaps for an AI agent.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents all three parameters. The description adds no additional parameter semantics beyond implying the 'query' parameter is used for fuzzy matching, which is already covered by the schema's description. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the tool's purpose with a specific verb ('search') and resource ('images'), and mentions the search scope ('by filename or path') and method ('fuzzy search'). However, it doesn't explicitly differentiate from sibling tools like 'list_images' or 'get_image', which prevents a perfect score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'list_images' or 'get_image'. It mentions the search scope but doesn't specify scenarios where fuzzy search is preferred over other methods or tools, leaving usage context implied rather than explicit.

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

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