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Setell-AI

Setell

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Setell parts-list proposal

setell_propose_parts_list
Read-only

Propose a parts list for a job by mining operator history for co-occurring parts from similar past jobs, each priced with evidence. Read-only proposal for operator to confirm or edit.

Instructions

Derive a full parts-list proposal for a job from the operator's OWN history: similar past jobs are mined for co-occurring parts, adapted to this job, and each part returns priced from the operator's history with a provenance receipt and evidence support (support.jobCount / support.share). PROPOSAL ONLY — present it for the operator to confirm or edit, then create the quote as a separate call. no_history means the operator has no similar past jobs with line items yet. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe job id to derive a parts list for. Find it via setell_find_jobs or the setell://jobs resource.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds behavioral context: mining similar jobs, adapting parts, returning provenance and support fields. No contradictions.

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 sentences, each serving a clear purpose: process description, usage note, edge case. Front-loaded with core purpose. No unnecessary words.

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

Completeness5/5

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

For a single-parameter, read-only tool with no output schema, the description adequately explains the output format (priced parts with support fields) and handles the `no_history` case. No obvious gaps for this complexity level.

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 has 100% coverage for the single parameter `jobId`, including a usage hint. The description does not add additional parameter-specific semantics beyond what the schema already provides, so baseline score applies.

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 the verb ('derive'), resource ('full parts-list proposal'), and scope ('from operator's OWN history'). It differentiates from siblings by emphasizing 'PROPOSAL ONLY' and separating the quote creation call, making the purpose distinct.

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 states when to use this tool (before quoting) and that quote creation is a separate call. Mentions the `no_history` edge case. Does not explicitly contrast with all siblings like `setell_compose_quote`, but the intent is clear.

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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