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lexicon_snapshot_info

Read-onlyIdempotent

Payment details for the Penny Press Lexicon full dataset snapshot ($0.25): every author-defined term with part of speech, definition, verbatim usage example, and source essays, as versioned JSON.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
assetYesPayment asset, USDC
priceYesPrice in USDC, e.g. $0.25
networkYesChain id, e.g. eip155:8453 (Base mainnet)
versionNo
recipientYesWallet receiving the payment
term_countNo
machine_urlYesPaid machine read via x402

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful non-schema context: the snapshot costs $0.25 and is returned as versioned JSON, which matters for an agent deciding whether to invoke it.

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?

A single tight sentence that front-loads the resource and cost, then lists contents. The enumeration is slightly dense but every clause is informative and none is wasted.

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?

An output schema exists, so return values need not be explained, yet the description still summarizes the payload and its versioned format plus the cost. For a zero-param info tool this is essentially complete; only the lack of alternative-tool routing is missing.

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 takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; no parameter behavior is left ambiguous.

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 names the specific resource (the Penny Press Lexicon full dataset snapshot) and enumerates exactly what it contains (terms, part of speech, definitions, usage examples, source essays). It implies differentiation from lexicon_lookup by specifying 'full dataset snapshot', though it never names the alternative tool outright.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no routing to alternatives such as lexicon_lookup or essay_payment_info. The only contextual hint is the implied cost ($0.25), which an agent could read as a reason to prefer a cheaper sibling, but this is not stated.

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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