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Coalesce-Software-Inc

coalesce-transform-mcp

Official

List Runs

list_runs
Read-onlyIdempotent

List and filter Coalesce runs by type, status, or environment. Supports pagination and optional full run details.

Instructions

List Coalesce runs with optional filters for type, status, and environment.

Args:

  • runType ('deploy'|'refresh', optional): Filter by type

  • runStatus ('completed'|'failed'|'canceled'|'running'|'waitingToRun', optional): Filter by status

  • environmentID (string, optional): Filter by environment

  • detail (boolean, optional): Include full run details

  • limit, startingFrom, orderBy, orderByDirection: Pagination controls

Returns: { data: Run[], next?: string, total?: number }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (max 500)
detailNoInclude full run details in response
orderByNoField to sort by (required with startingFrom)
runTypeNoFilter by run type
runStatusNoFilter by run status
startingFromNoCursor from previous response's next field
environmentIDNoFilter by environment ID
orderByDirectionNoSort direction

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
nextNo
totalNo
Behavior4/5

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

Annotations indicate read-only, idempotent, and non-destructive behavior. The description adds pagination details (limit, startingFrom, orderBy) and return structure (next, total), which are not in annotations. No contradictions found.

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 well-structured with Args and Returns sections, front-loading the main purpose. It is concise, though the parameter list is somewhat redundant with the schema. Each sentence adds value.

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?

For a list tool with output schema existing, the description adequately covers purpose, filters, pagination, and return shape. No mention of authorization or rate limits, but annotations cover safety. It is complete enough given the tool's complexity.

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?

Input schema has 100% coverage with descriptions; the description lists parameters with types and optionality but adds minimal new semantic meaning beyond the schema. It groups pagination controls but repeats schema info.

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 'List Coalesce runs' with optional filters, specifying the verb and resource. It distinguishes from sibling tools like get_run or cancel_run by focusing on listing with filtering capabilities.

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?

No explicit guidance on when to use this tool versus alternatives like get_run or list_environment_jobs. The description only lists parameters and return type, without contextual use cases or exclusions.

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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