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orchestra-hq

Orchestra MCP Server

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by orchestra-hq

List task run artifacts

list_task_run_artifacts
Read-only

Retrieve artifacts linked to a task run, including dbt manifest.json, run_results.json, catalog.json, and sources.json files, to inspect pipeline run outputs.

Instructions

List artifacts linked to a task run, such as dbt manifest.json, run_results.json, catalog.json, and sources.json files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_run_idYesTask run ID.
pipeline_run_idYesPipeline run ID.
X-Orchestra-Account-IdNoAct on this account rather than the one the credential resolves to. Omit it to use the credential's own account. An API key is issued to a single account, so it may only name that account; an OAuth token may name any account its grant covers.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this is a safe read, so the bar is lower. The description adds useful domain context by naming which dbt artifacts appear, but says nothing about pagination, result limits, or what happens when a run produced no artifacts.

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?

A single sentence with the core purpose front-loaded and the illustrative artifact list appended as concrete payoff. No filler and nothing redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and the two required IDs are fully documented in the schema. For a simple list tool this is nearly sufficient; only the routing versus the download sibling is missing.

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 task_run_id, pipeline_run_id, and the account-id header are all documented in the schema; the description adds no syntax or format detail beyond that. Baseline 3 applies when the schema does the heavy lifting.

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?

Names a specific verb ('List') and resource ('artifacts linked to a task run') and concretely enumerates the artifact types (dbt manifest.json, run_results.json, catalog.json, sources.json). It does not explicitly distinguish itself from the sibling download_task_run_artifact, but the list-vs-download distinction is inferable from the verb.

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 gives no when-to-use guidance, no prerequisites, and never mentions the closely related sibling download_task_run_artifact (which fetches a single artifact) or list_task_run_logs. The agent must infer the choice from tool names alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.