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Search Replicate Model Catalog

replicate_search_models
Read-onlyIdempotent

Search the Replicate model catalog by free-text query to find models for tasks like image upscaling, voice cloning, or code generation. Get up to 25 results with names and descriptions.

Instructions

Search the Replicate catalog by free-text query. Returns up to 25 matching models with names, descriptions, and URLs.

Args:

  • query (string, 1-200 chars): Free-text search. Examples: "image upscaler", "voice cloning", "depth estimation", "code generation".

Returns structuredContent: { "count": number, "models": [ { "owner": string, "name": string, "description": string | undefined, "url": string, "run_count": number | undefined, "cover_image_url": string | undefined } ] }

Tip: Once you find a promising model, call replicate_get_model_schema with "owner/name" to see its inputs before calling replicate_run_model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesFree-text search across the Replicate model catalog. Examples: "image upscaler", "voice cloning", "background removal".
Behavior4/5

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

Annotations indicate readOnlyHint=true, destructiveHint=false, and idempotentHint=true, which are consistent. The description adds transparency by stating the return limit and structure, enhancing understanding beyond annotations.

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, well-structured with clear sections (summary, args, returns, tip), and includes a practical usage tip without extraneous information.

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

Completeness5/5

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

Given low parameter count, high schema coverage, and rich annotations, the description completes the picture with return structure details and workflow guidance, fully informing agent usage.

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

Parameters4/5

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

Schema coverage is 100% with a single parameter described with min/max length and examples. The description reinforces these constraints and provides additional examples, adding value beyond the schema.

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

Purpose5/5

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

The description clearly states it searches the Replicate catalog by free-text query, returning up to 25 matching models. It uses a specific verb and resource, distinguishing it from sibling tools like replicate_get_model_schema and replicate_recommend_model.

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

Usage Guidelines4/5

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

The description provides a tip suggesting to call replicate_get_model_schema after finding a promising model, guiding the agent on proper workflow. However, it does not explicitly state when not to use this tool.

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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