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assets_ls

Retrieve a paginated list of blobs from a project, filtered by prefix, uploader, tags, image dimensions, and sorted by key or creation date.

Instructions

List blobs in a project with optional prefix filter over a flat key namespace. Supports pagination via cursor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID
prefixNoFilter: only return blobs whose key starts with this prefix
limitNoMax results (default 100, max 1000)
cursorNoPagination cursor from a previous response's next_cursor. v1.50: cursor is sort-pinned — reuse with a different `sort` returns 400 INVALID_CURSOR_FOR_SORT.
sortNov1.50: result ordering. Default 'key:asc' (legacy bare-key cursor). 'createdAt:*' variants use a base64url JSON cursor.
filterNov1.50: media-picker filter. Unknown keys are rejected with INVALID_FILTER_KEY before any HTTP call.
Behavior2/5

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

No annotations provided, so description must carry full weight. It only mentions pagination via cursor, but lacks disclosure on read-only nature, performance, or error scenarios. Does not fulfill the transparency burden for a tool without 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?

Single sentence, 18 words, front-loaded with key action. No wasted words; every part earns its place.

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

Completeness2/5

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

No output schema, but description does not explain return format or fields for each blob. Omits information about next_cursor and what filter returns. Incomplete for a tool with 6 parameters and nested objects.

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 baseline is 3. Description adds context about 'flat key namespace' and 'pagination via cursor', but does not significantly extend parameter understanding beyond what the schema already provides.

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 action (List blobs) and resource (blobs in a project) with the optional prefix filter. It distinguishes from sibling asset tools (get, put, rm) by focusing on listing, but does not explicitly contrast with them.

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?

No guidance on when to use this tool versus alternatives like assets_get for single blob retrieval. The description is purely functional without hints about use cases or exclusions.

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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