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whodb-cli

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by clidey

whodb_platform_transforms

Read-onlyIdempotent

List transforms in the selected hosted project and filter by name or trigger type. Target another workspace for one call without changing defaults.

Instructions

List transforms in the selected hosted project. Use name and type filters when known; type maps to trigger mode for this tool. Accepts workspace {host, org, project} for per-call targeting without changing defaults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional case-insensitive name substring filter for list tools
typeNoOptional type filter, for example provider type, transform trigger mode, or function language
limitNoMaximum list items to return; use offset to continue
fieldsNoTop-level output fields to include. Prefer only fields needed now; call again with more fields if needed.
offsetNoNumber of matching list items to skip
searchNoOptional case-insensitive search term; currently aliases name for list tools
statusNoOptional status filter for resources that expose status
deployedNoOptional function deployment filter: true or false
workspaceNoOptional target for this call only. Omit to use the session default set by whodb_platform_session_use, then process/saved defaults. Discover targets with whodb_platform_hosts, whodb_platform_orgs and whodb_platform_projects.
schema_modeNoOptional dataset schema mode filter

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.135.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, open-world behavior, so the bar is lower, yet the description still adds non-obvious traits: "type maps to trigger mode for this tool" (a parameter reinterpretation) and that workspace targeting applies "without changing defaults" (non-persistent session behavior). It does not mention result volume or pagination, which is a minor remaining gap.

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?

Three tight sentences: resource/scope first, filter behavior second, per-call targeting last. No filler or restatement of the tool name, and each sentence carries information the agent needs.

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 10-parameter, zero-required list tool with a nested workspace object and no output schema, the description covers list semantics, filter intent and workspace targeting adequately; pagination and field-selection behavior are left entirely to the schema, which documents them well.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3, but the description adds real meaning beyond the schema by clarifying that the generic 'type' filter maps to transform trigger mode here, and that the nested workspace object is per-call only and does not alter session defaults.

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?

States a specific verb and resource ("List transforms") plus the scope ("in the selected hosted project"), which distinguishes it from the singular whodb_platform_transform and the run-oriented siblings. It does not explicitly name an alternative tool, so it falls short of full sibling differentiation.

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

Usage Guidelines3/5

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

"Use name and type filters when known" gives filter-level guidance, and the workspace sentence explains per-call targeting semantics, but nothing states when this list tool is preferable to whodb_platform_transform, transform_runs, or transform_preview. Usage context is implied rather than prescribed.

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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