Skip to main content
Glama
Setell-AI

Setell

Official

Setell pricing signal

setell_get_pricing_signal
Read-only

Get a pricing analyst verdict on a quote before sending. Compares quote total against operator's history and industry benchmarks, returning verdict, reasoning, and comparables. Use to surface pushback in your own voice.

Instructions

Get Setell's pricing-analyst verdict on a quote BEFORE you send it. Setell compares the quote's total against the operator's own history (per-customer, per-job-type, similar past jobs) and falls back to an industry benchmark when no operator data exists. Returns: verdict (PASS / WARN / FLAG), reasoning (one paragraph in the operator's voice), optional recommendedAmount counter, comparables (structured evidence), layer (which hierarchy level fired), and priceResponse (win-rate-by-price-position curve + expected-profit peak; FORMING status = withhold recommendation framing). Use this before send_quote-style actions to surface pushback in your own voice. FLAG verdicts always warrant a confirmation prompt; WARN is autonomy-mode-dependent. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesThe job id whose latest quote to evaluate. Find it via setell_find_jobs or setell://jobs resource. The analyst always evaluates the LATEST quote version on the job.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds that it evaluates the latest quote version, falls back to industry benchmark, and details return fields like priceResponse with FORMING status. No contradiction with annotations.

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?

Front-loaded with the key action and purpose. A bit lengthy with return field descriptions, but each sentence adds value. Could be slightly tighter, but structure is effective.

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?

No output schema provided, but description lists and explains return fields (verdict, reasoning, recommendedAmount, comparables, layer, priceResponse). This compensates well. For a read-only tool with one parameter, it is complete enough.

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 has 100% coverage with a description for jobId. Description adds context on finding jobId via setell_find_jobs and clarifies it evaluates the latest quote. This adds value beyond the schema baseline.

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?

Description uses a specific verb ('Get') and resource ('pricing signal verdict') and clearly distinguishes from siblings like setell_get_quote by specifying it's a pre-send evaluation. The context signals list 25 sibling tools, and this description uniquely positions the tool as a pricing analyst check.

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 'Use this before send_quote-style actions' and advises on what to do with verdicts: FLAG warrants confirmation, WARN is autonomy-mode-dependent. Does not explicitly mention when not to use or alternatives, but given the sibling list, the usage context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Setell-AI/setell-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server