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marz-greta-lock-network

get_pricing

Current pricing manifest: fee in Solana lamports, treasury wallet, failure-escalation rules, and how to submit a paid validated benchmark via POST /api/simulate. Every paid session returns an actionable improvement hint (which dial to change and by how much), and POST /api/progress sells a full trajectory report — score history, streak, and percentile vs other bots — so agents can train their EQ over repeated sessions. Fleets: prepaid_bundle lists bulk credits at a discount (POST /api/bundle).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the disclosure burden. It does disclose what the manifest contains: fee unit, treasury wallet, escalation rules, and paid submission details. However, it does not explicitly state side effects, authorization requirements, or whether this tool itself is a read-only lookup. For a zero-parameter pricing manifest, this is adequate but not fully transparent.

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

Conciseness3/5

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

The core manifest information is front-loaded, which is good. But the description expands into paid-session hint behavior, POST /api/progress report contents, EQ training motivation, and bundle details. These are useful pricing-related facts but make the description dense and somewhat tangential for a simple pricing lookup tool.

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?

No output schema and no annotations mean the description must explain what the tool provides. It does enumerate the manifest contents and mentions related paid endpoints and bundle options. For a zero-parameter tool, this gives an agent enough context to know what to expect, though exact response shape is not specified.

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?

The input schema has zero parameters and 100% schema description coverage, so the baseline for zero-parameter tools is 4. The description adds no parameter-specific detail, but none is needed. The references to POST endpoints and optional paid services do not conflict with the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description opens with 'Current pricing manifest' and clearly enumerates contents: fee in Solana lamports, treasury wallet, failure-escalation rules, and submission path via POST /api/simulate. This makes the tool's resource clear. However, it lacks an explicit verb like 'returns' or 'gets' and does not contrast with sibling preview_fee, so sibling differentiation is only implicit.

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 this tool is the place to inspect current pricing, which gives some usage context. But it never explicitly states when to choose get_pricing over preview_fee or other siblings, nor does it provide when-not-to-use guidance. The detailed mentions of POST endpoints are related context, not decision rules.

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

B3.4/5.0
Disambiguation4/5

Most tools are clearly distinct: stats, pricing, profiles, fee previews, feature requests, scoring, and Storelayer actions each have separate purposes. The two Storelayer tools could be confused since both reference the same 57-widget catalog, but one is explicitly read-only recommendation and the other is activation/install. Pricing-related tools are also separated between general manifest and wallet-specific fee preview.

Naming Consistency3/5

The majority of tools follow a verb_noun snake_case pattern: get_network_stats, get_pricing, list_profiles, preview_fee, request_feature, score_text. The two storelayer_* tools break the pattern by leading with a domain prefix and one uses a noun-noun form rather than verb_noun. Overall it is readable but not fully consistent.

Tool Count4/5

Eight tools is a reasonable count for a server that combines scoring, pricing, profile lookup, and Storelayer integration. No tool feels redundant or unnecessary. The breadth of domains is wide, but each tool contributes to a distinct function.

Completeness3/5

The tool surface covers the main informational and free actions: stats, pricing, profile listing, fee preview, scoring, and feature requests. However, paid validation, progress reports, bundle purchases, and Storelayer verification/removal are only described as external endpoints or multi-step flows rather than exposed as MCP tools. These gaps are workable but may require agents to leave the MCP server for key monetized capabilities.

Resources