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rsnc_agent_next_goal

Calculate the fastest path to a user's next attainable reward. Shows exactly how many actions (purchases, reviews, referrals) are needed to afford a specific perk. Creates urgency and drives engagement. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdYesUser identifier (email or wallet address).
brandIdNoOptional: focus on a specific brand. If omitted, finds the best goal across all brands the user is active with.
targetPerkIdNoOptional: calculate path to a specific perk. If omitted, finds the most attainable perk.

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses that authentication is required and notes the tool's motivational intent ('creates urgency and drives engagement'). However, it does not explicitly state whether this is a read-only operation or any side effects, though 'Calculate' implies no mutation. The absence of such detail limits transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, front-loaded with the core purpose. The final sentence combines 'Creates urgency and drives engagement' with 'Requires authentication,' which is slightly less structured. Overall it is concise and avoids unnecessary verbosity, though the engagement phrase is somewhat marketing-oriented.

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 tool has no output schema, but the description explains the high-level result (shows number of actions needed). It mentions authentication and optional parameters indirectly through the schema. For a calculation tool, this is sufficient for an agent to select and invoke it, though edge cases or error behaviors are not covered.

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 baseline is 3. The description adds context about what actions mean (purchases, reviews, referrals) but does not add meaning beyond the schema for userId, brandId, or targetPerkId. The schema already explains those parameters sufficiently.

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 purpose: 'Calculate the fastest path to a user's next attainable reward.' It specifies the verb (calculate), resource (path to reward), and adds details about showing action counts. This distinguishes it from siblings like claim_reward or my_rewards, which focus on different actions.

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 implies when to use the tool (to motivate users toward a goal) and states a prerequisite (requires authentication). However, it does not explicitly mention alternatives or when not to use it, though the schema notes optional parameters for specific or best goals. This provides clear context but no exclusionary 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.

Resources