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Nevadaautoquotes

Pull routed records (buyers)

pull_requests

Drain the queue of pool records routed to you. Requires your buyer key. Metered buyers receive an x402 payment requirement (status 402, accepts[]) until a payment is supplied. Records are projected to the scope the consumer granted — never wider.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mandateNoAP2 Payment Mandate
paymentNox402 X-PAYMENT payload
buyer_keyYes
credentialNoMPP credential (the base64url JSON that would follow "Authorization: Payment")

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The description adds substantial behavior beyond the annotations: it requires a buyer key, explains the x402 payment flow with status 402 and accepts[], and commits to scope projection. These are context-rich disclosures about authentication, payment gating, and data visibility. No contradiction with readOnlyHint=false or destructiveHint=false is present.

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?

The description is compact and front-loaded: the core action appears first, followed by prerequisites, payment behavior, and a data-scope guarantee. Every sentence carries distinct information, and there is no filler or repetition.

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?

The description covers the main workflow: auth, payment prompting, and scope projection. However, there is no output schema, and the description does not describe the success response shape or behavior for an empty queue. Since the agent must handle the response, this is a moderate completeness gap.

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 descriptions cover mandate, payment, and credential, but buyer_key has no schema description. The tool description compensates by stating "Requires your buyer key," giving the required parameter clear meaning. It also ties the payment flow to the payment/credential parameters. The mandate parameter still relies solely on its schema description, preventing a perfect score.

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 states a specific verb and resource: "Drain the queue of pool records routed to you." This clearly distinguishes pull_requests from sibling tools like register_agency or market_data by emphasizing buyer-routed pool records. The title and description together make the tool's function unambiguous.

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 description implies when to use the tool: when you have pool records routed to you and possess a buyer key. It also describes the metered-payment condition. However, it never explicitly contrasts this tool with alternatives or states when not to use it, so guidance is more implied than directive.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a clearly distinct operation: eligibility preflight, quote generation, consumer contact, agency registration/status, queue draining, market data, and terms. Potential proximity between check_eligibility and get_quotes is resolved by explicit sequencing and different outputs.

Naming Consistency3/5

Most tools follow a verb_noun pattern such as check_eligibility, get_quotes, register_agency, pull_requests, and request_agent_contact. However, agency_status, market_data, and data_use_terms are noun-style resource names, creating a noticeable but still readable mix.

Tool Count5/5

Eight tools is well within the ideal range for a domain-focused server. Each tool serves a distinct function across quoting, consent, agency operations, queue handling, and data access, with no obvious redundancy.

Completeness4/5

Core workflows are well covered: eligibility, indicative quotes, consumer-agent connection, agency onboarding/status, lead queue draining, and market data purchase. Minor gaps remain, such as no tool to update or remove an agency, and no tool to inspect an individual consumer request or consent status; revocation is only mentioned as an external POST endpoint.

Resources