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RentServers.com

Request blind counter-quotes

request_blind_counter_quotes

Opens a counter-quote request with the RentServers.com desk: 3+ providers bid blind against the spec and the reply lays every quote out on one 36-month basis. Only call this when the user asks for quotes and provides their work email; they must click a confirmation link before any provider is contacted. Requests under $100/mo or for a single VPS get self-serve list prices instead of a ticket.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
notesNo
regionYes
companyNo
categoryYes
quantityNo
gpu_countNo
gpu_modelNo
work_emailYes
term_monthsNo
renewal_dateNo
spec_summaryNoe.g. 64 × H200 with InfiniBand, or 10 × 16-core/128 GB NVMe servers
incumbent_skuNo
incumbent_providerNo
monthly_budget_usdNo
incumbent_monthly_usdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Despite annotations covering the write/safety profile (readOnlyHint=false, openWorldHint=true), the description adds meaningful workflow context: 3+ blind bids, a single 36-month normalization of replies, and a confirmation-link gate before any provider is contacted. It also discloses the fallback path to list prices for small single-VPS requests, which is real behavior no annotation conveys.

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 tight sentences: purpose and mechanism first, then gating conditions, then the exclusion rule. Front-loaded and every clause earns its place with no redundancy against the schema or annotations.

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

Completeness3/5

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

For a 16-parameter request tool with no output schema, the description covers the workflow and call conditions well but leaves the parameter set largely undocumented. The agent can decide whether to call it, but assembling a valid 16-field payload relies almost entirely on raw schema rather than description guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 6% across 16 parameters, so the description must carry the burden but largely does not. It obliquely touches monthly_budget_usd (the $100/mo threshold) and category/quantity (single VPS), but leaves required fields like work_email, region, category, and the many optional GPU/incumbent/term fields unexplained beyond their enum values.

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?

States a specific verb-resource pair ('Opens a counter-quote request with the RentServers.com desk') and immediately describes the distinctive mechanism (3+ providers bidding blind, quotes normalized to a 36-month basis). This clearly separates it from sibling tools like calculate_36_month_tco and get_server_price_index.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit when-to-use condition ('Only call this when the user asks for quotes and provides their work email') plus explicit disqualifying conditions (under $100/mo or a single VPS get self-serve list prices instead). The agent knows both when to call and when not to.

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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