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Glama

Nevada Insurance

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

A4.6/5.0
Behavior5/5

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

Beyond the annotations, the description discloses several concrete behaviors: the queue-draining effect, the x402 payment requirement with status 402 and accepts[], and the security guarantee that records are projected only to the granted scope. This adds meaningful context about side effects, authentication, and authorization that the boolean annotations do not convey.

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 sentences deliver purpose, prerequisites, payment behavior, and security scope with no filler. Each sentence earns its place, and the most important action is front-loaded.

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 core action, required key, payment edge case, and data scoping. Since there is no output schema, one might want a bit more about the exact return shape or what happens after the queue is drained, but "drain the queue" strongly implies the outcome. Overall it is sufficiently complete for a capable agent.

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 description coverage is 75%, and the schema already documents mandate, payment, and credential. The description fills the gap for buyer_key by stating it is required, and it explains the role of payment in resolving the 402 status. This adds meaningful semantic context beyond the bare schema fields.

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 opens with a specific verb and resource: "Drain the queue of pool records routed to you." This clearly distinguishes the tool from sibling tools like agency_status or get_quotes, which serve different functions. The title reinforces the buyer-facing scope.

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?

The description states the prerequisite clearly: "Requires your buyer key." It also gives conditional usage context by explaining that metered buyers need to supply x402 payment until the 402 requirement is satisfied. It does not explicitly name alternatives or when not to use the tool, but the context is clear.

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

A3.9/5.0
Disambiguation5/5

Each tool targets a clearly distinct function: eligibility checking, quoting, agent contact, agency registration/status/queue, data terms, and market data. The only adjacent pair, agency_status and pull_requests, is cleanly separated by status versus queue draining.

Naming Consistency4/5

Five names use an imperative verb_noun pattern (check_eligibility, get_quotes, register_agency, pull_requests, request_agent_contact), while agency_status, data_use_terms, and market_data are resource-style names. All are lowercase underscore names and still readable, so this is a minor deviation rather than a chaotic mix.

Tool Count5/5

Eight tools is well scoped for a platform covering eligibility, quotes, consumer contact, agency onboarding/status/queue, data terms, and market data. Each tool has a distinct job and none feels redundant.

Completeness4/5

The core journey is covered end to end: check eligibility, get quotes, request agent contact, register an agency, check status, and pull records. Minor gaps exist around agency profile updates/removal and exposing a revoke/forget action as a first-class tool, but agents can complete the main workflows without dead ends.

Resources