SNHP — negotiation rules your AI can't break
Server Details
Turn a seller's offer into negotiation rules and draft replies to buyers inside them.
- Status
- Healthy
- Uptime
- 100.0% over 58 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- ryuxik/snhp
- GitHub Stars
- 0
- Server Listing
- SNHP
TDQS
Scored across 4 tools
Each tool targets a distinct step: compile (create policy), check (validate edited policy), draft (generate reply), verify (audit receipt). The only mild overlap is between compile_offer_policy and check_offer_policy, but the descriptions explicitly clarify that compile creates rules while check validates an edited set.
All four names follow a clean verb_noun snake_case pattern (check_offer_policy, compile_offer_policy, draft_negotiation_reply, verify_deal_receipt). The convention is applied uniformly with no deviations or mixed casing.
Four tools map neatly onto a coherent pipeline (compile → check → draft → verify) with no redundant surface. It is slightly lean, but each tool clearly earns its place and none feel gratuitous.
The set covers the full negotiation lifecycle: authoring a policy, validating it, drafting replies against it, and verifying signed receipts. Minor gaps exist around persistence/listing of policies (the server is stateless and relies on passed state), but core workflows are well covered.
Available Tools
4 toolscheck_offer_policyCheck a negotiation policyARead-onlyInspect
Check an edited negotiation policy: returns {ok, policy, issues, summary}. No model call, free.
USE THIS WHEN: you changed a policy from compile_offer_policy (a floor, an option, a forbidden combination) and want to know it is valid and what it now allows before using it in draft_negotiation_reply.
| Name | Required | Description | Default |
|---|---|---|---|
| policy | Yes | A policy object from compile_offer_policy, edited or not. |
Output Schema
| Name | Required | Description |
|---|---|---|
| ok | No | |
| error | No | |
| issues | No | |
| policy | No | |
| served | No | |
| summary | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered structurally. The description adds genuinely new context: no model call and no cost, plus the response contract. It doesn't discuss failure modes or what an invalid policy returns, but with annotations carrying the safety profile this is solid.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Well front-loaded: capability and cost first, then the usage trigger. The enumeration of return keys is mildly redundant since an output schema exists, but the text is short and every other sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter validation tool with an existing output schema and clear annotations, the description supplies everything an agent needs: purpose, cost/latency profile, when to call it, and its place in the compile→check→draft workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Single required parameter with 100% schema description coverage, so the schema already explains that "policy" is "a policy object from compile_offer_policy, edited or not." The description's "edited" phrasing reinforces this but adds no syntax or format detail beyond the schema. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ("Check an edited negotiation policy") and immediately names the return shape {ok, policy, issues, summary}. It also differentiates itself behaviorally from heavier siblings with "No model call, free," so an agent can place it without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The USE THIS WHEN block gives an explicit trigger ("you changed a policy from compile_offer_policy") and an explicit downstream condition ("before using it in draft_negotiation_reply"). Both the predecessor and successor tools are named, so routing is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
compile_offer_policyCompile an offer into negotiation rulesARead-onlyInspect
Turn a seller's offer, described in plain words, into negotiation RULES an AI agent cannot break.
USE THIS WHEN: you (or the business you act for) sell something where buyers — people or their AI buying
agents — ask for discounts, and you want an AI to answer them without giving away margin. Describe the offer:
the listed price, the lowest price you'd take for a plain deal, what you'd trade a discount for (financing with
you, a trade-in, a longer commitment, paying sooner, buying this week…), extras you can add and what they cost
you, and anything never on the table. Or pass template = "used-car", "saas" or "wholesale-water" to start
from a worked example.
Compiling a description runs a language model and needs an access_key (pilot businesses get one at
https://snhp.dev/#pilot); templates are free.
Returns {ok, policy, issues, summary}: policy is the machine-readable rule set (pass it to
draft_negotiation_reply), summary restates the floor, walk-away, what can be traded and the limits in plain
words, and issues lists what to fix before going live (e.g. a floor below cost).
| Name | Required | Description | Default |
|---|---|---|---|
| template | No | Instead of a description: 'used-car', 'saas' or 'wholesale-water' (free, no key). | |
| access_key | No | Your SNHP access key — needed to compile a description (it runs a language model). Pilot businesses get one at https://snhp.dev/#pilot. | |
| description | No | Your offer in plain words: listed price, the lowest you'd take for a plain deal, what you'd trade a discount for, extras you can add and their cost, what is never on the table. |
Output Schema
| Name | Required | Description |
|---|---|---|
| ok | No | |
| error | No | |
| issues | No | |
| policy | No | |
| served | No | |
| summary | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only declare readOnlyHint and openWorldHint; the description adds substantial non-obvious behavior: compiling a description invokes a language model and requires an access_key, templates are free, and the result includes an `issues` list flagging problems like a floor below cost. These cost/auth/validation traits go well beyond what the annotations disclose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Well front-loaded: purpose first, then a clearly labeled when-to-use block, then cost/auth, then returns. It is on the long side and the 'Returns {ok, policy, issues, summary}' section is partly redundant given an output schema exists, but each sentence carries information an agent would otherwise have to guess.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a 3-param, zero-required, no-enum tool with a full output schema, the description supplies everything missing: which input mode to pick, the auth requirement, the cost model, and the semantic content of the return fields. Nothing an agent needs to select and invoke this correctly is absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is already 100%, so the schema documents all three parameters, making 3 the baseline. The description adds meaning by enumerating what a good `description` should contain (listed price, floor, tradeables, extras and their cost, off-limits items) and by surfacing the three concrete template values, which goes beyond the raw schema text.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The opening sentence states a specific verb and resource — turning a plain-language seller offer into negotiation rules — and the framing 'RULES an AI agent cannot break' makes the output artifact concrete. It is clearly distinguishable from siblings like check_offer_policy (validation) and draft_negotiation_reply (which consumes this tool's output).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
An explicit 'USE THIS WHEN' block names the scenario (selling something where buyers or their agents haggle), and it routes between the two input modes — a free-form description vs. a named template. It even names the downstream sibling (draft_negotiation_reply), so the agent knows where the result flows.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
draft_negotiation_replyDraft a reply to a buyer, inside your rulesRead-onlyInspect
Draft the seller's reply to a buyer's message — the offer is decided by the SNHP engine INSIDE the policy.
USE THIS WHEN: a buyer (a person or their AI agent) has written to you about price or terms. Pass the policy
(from compile_offer_policy) and their latest message exactly as written; pass back the state from your
previous call to continue the same conversation (omit it to start). flags is what YOUR records confirm
about the buyer (e.g. {"new_customer": true}) — never what the buyer merely claims. stock is the current
stock of what the policy's inventory binds, sent with every message (schema.org Offer, Google Merchant or a
plain feed record): nothing out of stock is offered, and a deal is signed only on fresh records that say it can
be sold.
Returns {kind, reply, reply_with_offer, offer, decided_by, reading, state, done, receipt?}:
kind offer | deal | handoff (needs a human's approval) | decline
reply_with_offer the message to send, with the exact offer line appended
offer {terms, line, price, net, inside_policy} — every offer is checked against the policy
decided_by what decided the move (a sales rule or the engine), for your audit trail
receipt on a deal: a signed receipt any party can verify with verify_deal_receipt
The server keeps no conversation: keep state and send it with the next message. Needs an access_key
(pilot businesses get one at https://snhp.dev/#pilot).
| Name | Required | Description | Default |
|---|---|---|---|
| flags | No | What YOUR records confirm about this buyer, e.g. {"new_customer": true}. | |
| state | No | The `state` from your previous call in this conversation; omit to start. | |
| stock | No | Current stock records for what the policy's inventory binds, with every message (schema.org Offer, Google Merchant or {id|vin, status}): nothing out of stock is offered or signed. | |
| engine | No | The engine that decides offers; empty = the policy's own (templates set their tested default), else 'bundle3'. | |
| policy | Yes | The policy from compile_offer_policy. | |
| message | Yes | The buyer's latest message, exactly as written. | |
| access_key | No | Your SNHP access key (drafting runs a language model). Pilot businesses get one at https://snhp.dev/#pilot. |
Output Schema
| Name | Required | Description |
|---|---|---|
| done | No | |
| kind | No | |
| menu | No | |
| error | No | |
| offer | No | |
| reply | No | |
| state | No | |
| engine | No | |
| writer | No | |
| reading | No | |
| receipt | No | |
| decided_by | No | |
| reply_with_offer | No |
verify_deal_receiptVerify a deal receiptARead-onlyInspect
Verify a signed deal receipt against the seller's own policy: both signatures, that the signing keys are SNHP's own (published at /.well-known/ucp), the policy digest, and every rule re-checked from the package. Returns {ok, problems, checks, signed_by_snhp, signatures}. Free, no model call.
| Name | Required | Description | Default |
|---|---|---|---|
| flags | No | The account record used for the deal, if any. | |
| policy | Yes | The policy the deal was made under. | |
| receipt | Yes | The receipt returned with a deal. |
Output Schema
| Name | Required | Description |
|---|---|---|
| ok | No | |
| error | No | |
| checks | No | |
| problems | No | |
| signatures | No | |
| signer_kids | No | |
| signed_by_snhp | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful context beyond that: it is 'Free, no model call', and the signing keys come from SNHP's published /.well-known/ucp endpoint. It does not discuss failure modes beyond the names of the problem categories.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two dense sentences, front-loaded with the verification scope, then cost and return shape. Listings of return fields ('{ok, problems, checks, signed_by_snhp, signatures}') is slightly redundant given an output schema exists, but the text is tight and earns most of its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema, annotations, and fully documented parameters, the description carries little remaining burden and is essentially complete. Repeating the return object is harmless but unnecessary; nothing an agent needs to invoke it is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the description largely mirrors it ('the seller's own policy', 'the receipt returned with a deal'). It adds no syntax, format, or shape detail beyond what the schema already provides, so the baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a precise verb ('Verify') and resource ('signed deal receipt') and enumerates exactly what is checked: both signatures, key ownership against /.well-known/ucp, policy digest, and rule re-checks. An agent can tell this apart from check_offer_policy/compile_offer_policy at a glance.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the domain ('the receipt returned with a deal', 'the policy the deal was made under'), but there is no explicit when-to-use, when-not-to-use, or named alternative among the siblings (check_offer_policy, compile_offer_policy). Adequate but leaves routing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
draft_negotiation_reply1 field changed- added
Input schema / properties / stockAdded value: +{ + "anyOf": [ + { + "items": {}, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Current stock records for what the policy's inventory binds, with every message (schema.org Offer, Google Merchant or {id|vin, status}): nothing out of stock is offered or signed.", + "title": "Stock" +}
2 tool updates
- Changed
draft_negotiation_reply1 field changed- changed
Input schema / properties / engine / descriptionPrevious value: -"The engine that decides offers; empty = the policy's own (templates set their tested default), else 'v10'."New value: +"The engine that decides offers; empty = the policy's own (templates set their tested default), else 'bundle3'."
- Changed
verify_deal_receipt3 fields changed- added
Output schema / properties / signaturesAdded value: +{ + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Signatures" +} - added
Output schema / properties / signed_by_snhpAdded value: +{ + "anyOf": [ + { + "type": "boolean" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Signed By Snhp" +} - added
Output schema / properties / signer_kidsAdded value: +{ + "anyOf": [ + { + "additionalProperties": true, + "type": "object" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Signer Kids" +}
1 tool update
- Changed
draft_negotiation_reply1 field changed- added
Output schema / properties / menuAdded value: +{ + "anyOf": [ + { + "items": { + "additionalProperties": true, + "type": "object" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "title": "Menu" +}
11 tool updates
- Removed
memory_load - Removed
memory_save - Removed
negotiate - Removed
negotiate_bundle - Removed
score_deal - Removed
session_advise - Removed
session_bundle - Removed
session_close - Removed
session_open - Removed
store_catalog - Removed
store_request
8 tool updates
- Removed
auction_bid - Removed
auction_reserve - Added
check_offer_policy - Removed
clearance_price - Added
compile_offer_policy - Added
draft_negotiation_reply - Removed
stable_match - Added
verify_deal_receipt
15 tool updates
- First observed
auction_bid - First observed
auction_reserve - First observed
clearance_price - First observed
memory_load - First observed
memory_save - First observed
negotiate - First observed
negotiate_bundle - First observed
score_deal - First observed
session_advise - First observed
session_bundle - First observed
session_close - First observed
session_open - First observed
stable_match - First observed
store_catalog - First observed
store_request
Related MCP Connectors
Negotiate B2B deals agent to agent: every offer recorded, owner rules checked, agreements locked.
Negotiation math engine. Pareto frontier, counteroffer generation, zero LLM tokens.
Sell to the best offer: a sealed-offer link and button for any listing, with a hidden reserve price.
Find Nexez sellers, inspect offers, and validate checkout or negotiation before buyer approval.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables autonomous multi-turn negotiation and counter-offer strategy by calculating ZOPA, concession decay curves, reservation price thresholds, and structured bargaining offers.7MIT
- AlicenseNot gradedqualityCmaintenanceEnables natural-language price negotiation by turning purchase requests into ranked cheapest-first estimates and drafting vendor messages.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables autonomous multi-turn negotiation by calculating the Zone of Possible Agreement, modeling concession decay curves, enforcing reservation price thresholds, and generating structured bargaining counter-offers. It supports agentic commerce and contract negotiation workflows through a native MCP interface.7MIT
- AlicenseNot gradedqualityDmaintenanceA deterministic buyer-choice simulator inside ChatGPT that compares merchant offers against user-supplied alternatives, explains wins/losses, and tests what-if changes.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.