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quote_sponsorship

Get a five-minute exact sponsorship quote within maxPaymentCents. This does not charge or reserve a ranking position. Keep quoteToken private.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
strategyYes
productUrlYes
rankingSlugYes
maxPaymentCentsYes
targetTotalCentsNo

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations are all false, providing little behavioral signal. The description adds meaningful context by stating no charge/reservation occurs and by instructing to keep quoteToken private. This goes beyond the annotations and clarifies side-effect expectations, though it does not address other potential side effects like creating a quote record or rate limits.

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 short sentences, all essential. The main action is front-loaded, the non-charge/reserve qualifier prevents confusion with purchase_sponsorship, and the privacy note is a necessary operational warning. No redundant or filler content.

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?

With no output schema and zero parameter documentation, the description leaves critical gaps: no explanation of the quoteToken output or its lifecycle, no guidance on strategy or targetTotalCents, and no mention of how the quote relates to a subsequent purchase. The description is too sparse for a 5-parameter tool with this complexity.

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 0%, so the description must compensate but only addresses maxPaymentCents ('within maxPaymentCents'). It does not explain rankingSlug, productUrl, strategy, or targetTotalCents, nor does it clarify the meaning of the strategy enum values. Minimal semantic value is added over the raw schema.

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 ('Get'), a concrete resource ('sponsorship quote'), and distinguishes itself from purchase_sponsorship by explicitly noting it does not charge or reserve a position. The five-minute validity and maxPaymentCents constraint add further precision, making the tool's purpose unmistakable.

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 gives clear context: it is for obtaining an exact quote before any commitment, and it clarifies what it does not do (charge or reserve). However, it does not explicitly name sibling tools like purchase_sponsorship as the alternative for the actual purchase, leaving some inference to the agent.

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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