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blob_ls

List blobs in a project, filter by key prefix, and paginate results using a cursor.

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
Behavior3/5

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

No annotations are provided, so the description carries the burden. It accurately describes listing as a read-only operation and mentions pagination, but it omits behavioral details such as read-only nature, permission requirements, or side effects, leaving some transparency gaps.

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 extremely concise: two sentences with no extraneous information. Every word adds value, making it efficient for quick understanding.

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 lack of annotations and output schema, the description covers the core functionality and pagination but does not specify the return format (e.g., list of blob keys, next_cursor). It is adequate for a simple list tool but could be more complete regarding output structure.

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?

The input schema has 100% parameter description coverage. The description adds context beyond the schema by explaining the flat key namespace and pagination via cursor, helping the agent understand the overall semantics beyond individual parameter definitions.

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 lists blobs in a project with an optional prefix filter over a flat key namespace. It is distinct from sibling tools like blob_get (retrieves a single blob) and blob_put (uploads), making the purpose unambiguous.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives. It implies usage for listing blobs but lacks guidance on exclusions or when to prefer other blob-related tools like blob_get or blob_rm.

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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