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revenue-enablement-mcp

Pricing Negotiation Guide

pricing_negotiation_guide
Read-only

Get value-based pricing defense strategies and negotiation tactics. Helps maintain deal value while addressing discount requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scenarioYesNegotiation scenario
deal_valueNoCurrent deal value
your_leverageNoYour leverage points (unique features, timeline, etc.)
your_solutionNoAccepted but not used yet by this tool
business_modelNoOptional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out
buyer_leverageNoBuyer leverage points (size, reference potential, etc.)
value_deliveredNoQuantified value your solution delivers. Shown in the output; the value example does not use it
competitor_priceNoCompetitor pricing if known
decision_timelineNoWhen decision needs to be made
approval_authorityNoWho has final approval on pricing
discount_requestedNoDiscount percentage requested

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that the output is defensive strategy/tactics content rather than raw data, but says nothing about output shape, determinism, or how the 11 inputs shape the result. Adequate but shallow against a fully-covered annotation set.

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?

Two tight sentences with the primary purpose front-loaded and no filler. It is appropriately sized for the message it delivers, though it stops short of carrying the weight a tool this complex needs.

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

Completeness2/5

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

This is a complex tool: 11 parameters, 2 enums, and no output schema. The description ignores the scenario taxonomy, the interplay of deal_value/leverage/buyer_leverage inputs, and the schema's own caveats (e.g., your_solution being accepted but unused). For this level of complexity, the definition leaves substantial 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 100%, so all eleven parameters are already documented, including the notable notes that your_solution is 'Accepted but not used yet' and value_delivered is 'Shown in the output.' The description adds nothing beyond the schema, so the baseline of 3 applies.

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 pair: 'Get value-based pricing defense strategies and negotiation tactics,' with a scope note about maintaining deal value against discount requests. This is clear on what it produces, but it never distinguishes itself from close siblings like deal_strategy_coach or competitive_trap_setter.

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?

The phrase 'while addressing discount requests' implies a usage context, but the description gives no explicit when-to-use guidance, no prerequisites, and no naming of alternatives among the eleven sibling tools. The agent can infer a scenario but nothing routes it decisively.

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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