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Get an uploaded asset

get_upload
Read-only

Look up a stored asset by its upload id: filename, contentType, sizeBytes, status, its kamy://asset/<id> reference, and a freshly signed downloadUrl valid for one hour once the bytes exist. Its main use is confirming an out-of-band transfer landed — upload_file returns uploaded:false when the file was too large to pass inline and you PUT it yourself — because this read reconciles a still-'pending' row against storage and flips it to 'uploaded' the first time it sees the object. Also the way to mint a fresh download link after an earlier signed URL expired. Read-only and spends no quota. Requires a Kamy API key with the uploads:read scope; without a key, returns dashboard setup instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uploadIdYesUpload UUID returned by upload_file. The bare UUID, not the kamy://asset/... ref.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior1/5

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

The description contains a critical contradiction: it claims 'Read-only and spends no quota' (consistent with readOnlyHint=true) but then describes a side effect: 'reconciles a still-'pending' row against storage and flips it to 'uploaded' the first time it sees the object.' This is a state change, contradicting the annotation. Per rubric, score 1 for contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense with useful information and front-loaded with the return fields. It efficiently covers use cases, requirements, and behavior. While it is somewhat long, every sentence serves a purpose, earning a 4 rather than a perfect 5.

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?

Despite the contradiction, the description covers all needed context: it lists return fields, explains the reconciliation behavior, mentions the signed URL's validity, states quota and scope requirements, and notes what happens without a key. For a one-parameter tool with no output schema, this is very complete.

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. The description repeats the schema's hint about using the bare UUID but adds no new parameter semantics. The single parameter is well-documented in the schema; the description does not enhance it further.

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's purpose: 'Look up a stored asset by its upload id' and enumerates the specific fields returned. It distinguishes itself from sibling tools like upload_file by explaining its role in confirming out-of-band transfers, making it unambiguous.

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

Usage Guidelines5/5

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

The description explicitly states when to use the tool: confirming an out-of-band transfer landed and minting a fresh download link. It provides context by referencing upload_file's behavior and notes the required API key scope ('uploads:read'), giving clear guidance on prerequisites and use cases.

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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