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Get a signed upload URL for a large file

create_artifact_upload

Use this when you need to attach a file too big for add_artifact's inline base64 path (~6 MB): decks, PDFs, audio recordings, archives. Returns a short-lived signed upload URL plus an upload_token. PUT the raw file bytes to upload_url (Content-Type set to the file's type, no base64), then call add_artifact with the same task_id, name and upload_token to record the artifact. Nothing is recorded until you finalize, so an abandoned upload leaves no artifact behind.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFilename, with its real extension (report.pptx, call.m4a).
task_idYesTask the file belongs to.
mime_typeNoOptional. Content-Type you will send on the PUT.
size_bytesNoOptional. Expected file size.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only indicate readOnlyHint=false and destructiveHint=false, so the description carries the behavioral burden and handles it well. It discloses that the URL is short-lived, that the upload requires a raw PUT with no base64, that nothing is recorded until finalization, and that an abandoned upload leaves no artifact. This materially clarifies side effects and lifecycle behavior beyond the 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?

Four sentences, each earning its place: when to use, what is returned, how to complete the flow, and the consequence of abandonment. The most important routing information is front-loaded, and no redundant content or schema repetition weakens it.

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 lacking an output schema, the description explains the returned upload_url and upload_token, the required PUT step, and the finalize step with add_artifact. It also covers the failure edge case of an abandoned upload. Together with 100% parameter schema coverage, the agent has everything needed to call this 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 description coverage is 100%, so the baseline is 3 even though the description adds little about individual parameters. It does connect task_id and name to the finalize step with add_artifact, and mentions upload_token as a returned value, but mime_type and size_bytes remain solely documented by the schema. This is adequate given the high schema coverage.

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 states a specific verb and resource ('Get a signed upload URL for a large file') and differentiates itself from add_artifact's inline base64 path by size ('too big for add_artifact's inline base64 path (~6 MB)'). An agent can immediately tell this serves the two-step large-file upload flow rather than direct artifact creation.

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?

It explicitly tells the agent when to use this tool ('when you need to attach a file too big for add_artifact's inline base64 path'), names the sibling alternative (add_artifact), and gives the exact follow-up sequence: PUT bytes to upload_url, then call add_artifact with the same task_id, name, and upload_token. This is clear, actionable routing guidance.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools target a distinct resource and action, but several adjacent pairs are easy to confuse: add_comment vs add_progress_note, call_executor vs call_integration, log_client_decision vs update_client_context vs memory_save, and list_context_sources vs list_integrations. The descriptions do disambiguate them, but the boundaries are subtle enough that misselection is likely with 81 tools.

Naming Consistency4/5

The overwhelming majority follow a clear verb_noun snake_case pattern (create_task, update_project, list_integrations, set_webhook), and get_/ list_/ create_/ update_ families are predictable. Minor deviations exist: memory_read/memory_save/memory_search invert to object_verb, and bare nouns like whoami, glossary, and security_posture break the pattern, but there is no chaotic casing or mixed conventions.

Tool Count2/5

At 81 tools, this is far above the weight that is comfortable for an agent's tool-selection surface, especially since many tools belong to families that could be consolidated (webhooks, worker keys, project logs, context/memory). Although the domain is broad, the count will overwhelm agents and increase misrouting.

Completeness4/5

The surface is unusually comprehensive: tasks, projects, workers, leases, artifacts, comments, handoffs, webhooks, keys, context, memory, integrations, and support all have create/read/update/delete or equivalent lifecycle coverage. The gaps are minor, such as remove_dependency without a visible add_dependency and no artifact/comment deletion, but agents can work around them.

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