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shizhMSFT

ORAS MCP Server

by shizhMSFT

list_referrers

Retrieve details of referrers associated with a container image or OCI artifact by specifying registry, repository, tag, or digest in the ORAS MCP Server.

Instructions

List referrers of a container image or an OCI artifact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
digestNomanifest digest
registryYesregistry name
repositoryYesrepository name
tagNotag name
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action 'List' but does not describe traits like whether this is a read-only operation, if it requires authentication, rate limits, or what the output format might be. This leaves significant gaps in understanding how the tool behaves.

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 a single, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to grasp quickly.

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?

Given the complexity of listing referrers with 4 parameters and no output schema, the description is incomplete. It lacks details on behavioral traits, usage context, and output expectations, which are crucial for an AI agent to invoke the tool correctly without annotations or output schema support.

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 already documents all parameters (digest, registry, repository, tag) with descriptions. The description does not add any meaning beyond this, such as explaining relationships between parameters or usage examples, but it doesn't need to compensate for low coverage.

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 verb 'List' and the resource 'referrers of a container image or an OCI artifact', making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'list_tags' or 'list_repositories', which might handle similar listing operations but for different resources, so it misses full sibling distinction.

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. It does not mention prerequisites, context, or exclusions, such as when to prefer 'list_tags' for tag listings or 'fetch_manifest' for detailed artifact data, leaving usage unclear.

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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