Skip to main content
Glama

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

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the content of the pricing manifest (fees, wallet, escalation rules, submission instructions) which is useful. However, it doesn't disclose network requirements, caching behavior, whether fees are current/up-to-date on each call, or any side effects. The long tail about EQ training and trajectory reports reads as product marketing rather than behavioral disclosure.

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 description is densely packed but front-loads the core purpose (pricing manifest, fees, wallet, escalation rules, submission path) in the first two sentences. However, the latter half drifts into promotional copy about EQ training and streak/percentile reports that doesn't help an agent use this specific tool, and it interleaves unrelated bundle/flight info without clear structure.

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?

For a zero-parameter info-read tool with no output schema, the description covers the key return contents (fees, wallet, escalation rules). But it spends significant real estate on unrelated paid-endpoint marketing (trajectory reports, EQ training) at the expense of disclosing what the actual returned payload structure looks like, response format, or staleness guarantees for the pricing data itself.

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?

There are 0 parameters and schema coverage is 100%, so per the rubric the baseline is 4. The description correctly does not invent any parameter discussion since there are no parameters to document. No improvement needed here.

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?

The description clearly states the tool returns the current pricing manifest (fees, treasury wallet, failure-escalation rules) and how to submit a paid validated benchmark. It goes beyond a simple read-only fetch by also covering post-payment endpoints like improvement hints, trajectory reports, and bulk bundles. However, it doesn't sharply distinguish from sibling tools like preview_fee, though the scope (manifest/overview vs a specific preview) is reasonably implied.

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 heavily focuses on what the paid session endpoints offer (improvement hints, progress reports, bulk bundles) which is more marketing than usage guidance. It doesn't explicitly state when one would call this tool versus preview_fee or when NOT to use it. The guidance about POST /api/simulate and POST /api/progress is tangential to what the tool itself returns, blurring the when-to-use distinction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation4/5

Most tools target clearly distinct resources: scoring, profiles, pricing, network stats, fee quotes, and feature requests. The only mild ambiguity is between get_pricing and preview_fee, since both deal with fees, but their descriptions clarify one is a general manifest and the other is a wallet-specific quote.

Naming Consistency4/5

The set mostly follows a snake_case verb_noun convention: get_network_stats, list_profiles, preview_fee, request_feature, score_text. storelayer_widget_menu is the clear outlier, using a noun-heavy compound with no verb and a different naming pattern.

Tool Count4/5

Seven tools is a reasonable size for a platform-facing MCP server and avoids bloat. However, storelayer_widget_menu is an unrelated promotional detour that makes the set feel slightly less well-scoped to its core EQ-scoring purpose.

Completeness3/5

Core discovery and free scoring are covered well: stats, pricing, profiles, fee previews, feature requests, and score_text. However, paid benchmark submission, progress/trajectory retrieval, and bundle purchasing are only described as external REST endpoints rather than actual tools, leaving notable gaps in the full validation loop.

Resources