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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

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the return content (fee, treasury wallet, escalation rules, submission endpoint), plus details about improvement hints and the POST /api/progress and /api/bundle options. It's honest about what data users get — actionable hints per session and trajectory reports — which exceeds the minimum disclosure bar.

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 front-loaded with the core content (fees, wallet, escalation, submission endpoint) but then extends into promotional detail about improvement hints, POST /api/progress, and fleets/bundles. These additional details are informative but somewhat structured more like marketing copy than a tight API description, and the long continuous sentence reduces scannability.

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?

For a 0-parameter informational/manifest tool with no output schema, the description is quite complete. It covers the main content, secondary offerings (progress reports, bundles), and related endpoints. The only gap is that it doesn't explicitly state the return format or whether the pricing is retrieved from a live source, but for a manifest document tool this is adequately comprehensive.

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 tool has 0 parameters, so the description receives a baseline of 4 per the rubric. There's nothing additional to clarify since the schema already fully covers an empty parameter set (100% coverage trivially). The description correctly focuses on output content rather than parameter semantics.

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?

Clearly identifies itself as the current pricing manifest covering fees in Solana lamports, treasury wallet, failure-escalation rules, and benchmark submission. It distinguishes itself from siblings like preview_fee (which presumably predicts a fee) by positioning get_pricing as the authoritative manifest document. The verb is implicit ('retrieves/describes') but the resource scope is explicit and specific.

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 communicates substantial context about what the manifest contains, but does not explicitly state WHEN to use this tool versus alternatives like preview_fee or get_network_stats. It implies usage as a reference/manifest lookup, which is reasonable for a 0-param informational tool, but there's no explicit when/when-not 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

A3.6/5.0
Disambiguation4/5

Most tools target distinct concerns: stats, pricing, profiles, fee previews, feature requests, and scoring. The main ambiguity is between get_pricing and preview_fee, but their descriptions clarify that one is the general pricing manifest and the other is a wallet-specific quote.

Naming Consistency4/5

The majority of tools follow a readable snake_case verb_noun pattern, such as get_network_stats, list_profiles, preview_fee, request_feature, and score_text. The outlier is storelayer_widget_menu, which is a noun phrase rather than a clear verb action, and the retrieval verbs vary slightly, but the overall pattern is consistent enough.

Tool Count4/5

Seven tools is a reasonable size for a scoring and benchmarking platform and stays well within the ideal range. However, storelayer_widget_menu feels like an unrelated promotional addition that does not earn its place alongside the scoring-focused tools.

Completeness3/5

The free scoring path, profile listing, pricing, and network stats are present, but the paid validation workflow via POST /api/simulate, progress reports via POST /api/progress, and bundle purchases are only described in get_pricing rather than exposed as MCP tools. This leaves a notable gap in the core paid workflow, though agents could fall back to REST.

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