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haandol
by haandol

ingest_backfill

Ingests backfill JSON to save a slide's design and return available components after preparation confirms backfill stage.

Instructions

Ingests the design_doc backfill for an imported slide (stage="backfill").

Call AFTER a prepare_modify_component that returned stage="backfill". Saves the backfilled design_doc and returns available_components. Pick a component id and call prepare_modify_component again.

Args: project_id: Target project ID (required). slide_index: 1-based slide position. backfill_json: The backfill JSON generated by the client.

Returns: JSON with status="backfilled", available_components.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
slide_indexYes
backfill_jsonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that the tool saves the backfilled design_doc and returns available_components. However, it does not describe side effects, destuctiveness, auth needs, or error conditions. Basic behavior is clear but lacks depth.

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?

One compact paragraph covering purpose, workflow, parameters, and return value. No wasted words; front-loaded with the main purpose and key workflow instruction.

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?

Complete for a workflow-specific tool: explains when to call, what it does, what it returns, and next action. Could add parameter validation info or error cases, but overall sufficient.

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 0% coverage, so description must add meaning. It describes each parameter: project_id as target project ID, slide_index as 1-based, backfill_json as client-generated. Adds some context but not full details like format or constraints.

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?

Clearly states it ingests a design_doc backfill for an imported slide with stage='backfill'. The verb+resource is specific, and the description distinguishes it from siblings like `ingest_modify_component` by specifying this is the backfill step.

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?

Explicitly says to call AFTER `prepare_modify_component` that returned stage='backfill' and explains the next step. Provides clear workflow context but lacks explicit when-not-to-use or alternative tools.

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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