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sebastienrousseau

iso20022-evidence-pack-mcp

Export a pack to Amazon S3

export_pack_to_s3

Upload signed ISO 20022 audit evidence packs to Amazon S3 for secure storage, receiving bucket, key, and etag in return.

Instructions

Upload a signed evidence pack to Amazon S3.

**Requires the ``[aws]`` extra** (``pip install
iso20022-evidence-pack-mcp[aws]``) and **reaches AWS S3 over the
network** -- unlike the closed-world tools, this one has a network
surface. Only the ``s3://`` scheme is supported; ``gs://`` / ``az://``
return a clear error. Returns the object's ``bucket``, ``key``, and
``etag``.

Args:
    signed_pack_json: The signed pack to upload, as JSON text.
    s3_uri: The destination, of the form ``s3://bucket/key``.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
s3_uriYesDestination of the form s3://bucket/key.
signed_pack_jsonYesA signed evidence pack as raw JSON text.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

The description goes beyond the annotations by revealing that the tool reaches AWS S3 over the network, requires an optional package extra, restricts supported URI schemes, returns a clear error for unsupported ones, and returns bucket, key, and etag. This is meaningful behavioral context that the annotations alone do not provide.

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 well-organized, front-loads the core action, and uses short sections for requirements, behavior, return values, and arguments. Every sentence contributes useful information without excessive padding.

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 its two required parameters, full schema coverage, and existing output schema, the description covers the important nuance: network access, installation requirement, URI scheme restrictions, and returned fields. It is sufficiently complete for an agent to select and invoke the tool correctly.

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 coverage is 100 percent and the Args section mirrors the schema descriptions closely. It adds a bit of plain-language context such as 'signed pack to upload' and the destination form, but does not substantially enrich parameter semantics beyond what the input schema already provides.

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 the tool uploads a signed evidence pack to Amazon S3, with a specific destination scope (s3://). It distinguishes itself from sibling tools like sign_pack and verify_seal by identifying its unique network/upload function.

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?

It explicitly explains that the java [aws] package extra is required, that this tool has a network surface unlike the closed-world tools, and that only s3:// is supported with gs:// / az:// returning clear errors. It could slightly improve by naming specific sibling alternatives, but the context is strong.

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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