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WebArm24

pipeline_builder_chat

Ask the built-in AI pipeline builder (costs builder_call credits). messages=[{role,content}], pipeline=current draft. Returns {text, pipeline}; the draft is NOT saved — pass it to pipeline_create/update.

Input Schema

NameRequiredDescriptionDefault
messagesYes
pipelineYes
builder_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations present, the description carries the burden and does disclose key behavior: it costs builder_call credits, it does not persist the draft, and it returns {text, pipeline}. That is meaningful beyond what the empty annotation block provides. Gaps remain on whether conversation state outside `messages` is retained, auth requirements, and rate limits.

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 compact clauses with zero filler, backticked identifiers tying each statement to its schema field, and the cost note front-loaded. Every sentence carries distinct information.

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?

With no output schema, the description usefully supplies the return shape {text, pipeline}, and it handles the nested-object risk by spelling out the messages element shape. The unmentioned `builder_context` and the absent guidance on fetching the current draft (presumably via pipeline_get) are the remaining gaps.

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 0%, so the description must compensate. It does explain two of three parameters usefully: `messages` is a [{role,content}] array and `pipeline` is the current draft. However, the optional `builder_context` parameter is never mentioned anywhere, leaving one parameter entirely undocumented.

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?

The description names a specific verb+resource: chatting with the built-in AI pipeline builder, and clarifies that it produces a draft rather than persisting one. It routes the output to pipeline_create/pipeline_update, which separates it from the sibling write tools. It does not distinguish itself from pipeline_debug_chat, the closest analogous chat sibling, so 5 is not warranted.

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

Usage Guidelines4/5

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

The description gives a clear operational rule: the returned draft is NOT saved, so pass it to pipeline_create/update. It also flags the credit cost (builder_call), which is decision-relevant before calling. It does not state when to prefer this over pipeline_debug_chat, leaving one real alternative ambiguous.

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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