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rsnc_agent_create_perk

Create a new perk collection for a brand. Perks are rewards users can claim with earned RSNC tokens — discounts, free products, VIP access, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the perk.
tagsNoOptional tags for search and filtering.
brandIdYesThe brand identifier (wallet address).
categoryNoOptional perk category (e.g. "discount", "freebie", "vip").
maxSupplyYesTotal supply available. Must be greater than 0.
maxPerUserNoMaximum redemptions per user. Defaults to 1.
descriptionYesDescription of what the user receives.
priceInPointsYesRSNC cost to redeem this perk. Must be greater than 0.

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states 'create' but does not disclose side effects, authorization requirements, reversibility, or return behavior. For a mutation tool, this lack of detail is a significant gap.

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 two sentences, front-loaded with the primary action, and includes a clear explanation of the domain. Every sentence adds value without unnecessary verbosity.

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?

The tool has 8 parameters, no output schema, and no annotations. The description explains the purpose and perk concept but does not mention return values, error conditions, or side effects. While the schema covers parameters well, the absence of behavioral context for a creation action leaves some gaps.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents each parameter. The description adds conceptual context by explaining what perks are (rewards claimable with RSNC tokens), but it does not add syntax or format details beyond the schema. Baseline 3 is appropriate.

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 clearly states the tool's function: 'Create a new perk collection for a brand.' It uses a specific verb ('create') and resource ('perk collection for a brand'), and explains what perks are. This distinguishes it from siblings like update_perk, browse_perks, and redeem_perk.

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 usage by stating what it does, but it does not explicitly mention when to use this tool over alternatives such as update_perk or suggest_perks. The context is clear enough for a simple creation action, but it lacks explicit exclusions or alternative guidance.

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

B3.3/5.0
Disambiguation2/5

Several tools have overlapping purposes, e.g., rsnc_agent_best_deals, rsnc_agent_route_purchase, and rsnc_agent_compare_cashback all help find the best purchase/reward option. Similarly, rsnc_agent_network_info, rsnc_agent_network_stats, and rsnc_agent_network_analytics provide similar network overview data with unclear boundaries.

Naming Consistency3/5

All tools share the consistent 'rsnc_agent_' prefix, but the remainder mixes verb-first patterns (browse_perks, claim_reward, create_event) with noun-first patterns (brand_analytics, network_flows, perk_intelligence). This inconsistency makes the tool surface less predictable than a uniform verb_noun scheme.

Tool Count2/5

With 45 tools, the server feels over-scoped for a rewards network. While the domain is broad, many tools are highly granular analytics variations, and the count exceeds the 25+ threshold, adding cognitive load and diminishing coherence.

Completeness4/5

The tool set covers the core lifecycle: brand discovery, onboarding, event/perk creation and updates, reward processing, user balance/stats, and redemption. Minor gaps exist, such as no delete operations for events/perks and no direct user listing, but agents can work around these.

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