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chain_token_identity

$0.09 via x402: ERC-20 name, symbol, decimals and total supply read straight off the contract, plus an existence check. Because it reads the contract and not an indexer it answers for tokens minted MINUTES ago and on chains no explorer covers — the gap that makes indexer-backed lookups return nothing for a fresh launch. Legacy bytes32 name/symbol decoded; a missing decimals() is flagged, not silently assumed. The first read to make on an unknown contract.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase|ethereum|optimism|arbitrum|polygon|gnosis (default base)
tokenNoERC-20 contract address (0x...)
x_paymentNo

Schema Changelog

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

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals that reads come straight from the contract, that legacy bytes32 name/symbol are decoded, that a missing decimals() is flagged rather than silently assumed, and that an existence check is included. It also discloses the $0.09 via x402 pricing, which is useful behavioral context.

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

Conciseness5/5

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

The description is four concise sentences, each earning its place. The first sentence states the core function, the second explains the key advantage, the third covers edge-case handling, and the fourth gives positioning advice. There is no fluff or repetition, and it is well front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description clearly enumerates the returned fields (name, symbol, decimals, total supply, existence check). It also covers edge cases, the freshness advantage, and even pricing. This is complete for a tool of this complexity, leaving no critical information absent.

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?

The schema already well describes the two main parameters (chain with allowed values/default, token as ERC-20 contract address), and coverage is 67%. The description only indirectly references the token and payment via x402, without adding detailed semantics for the x_payment parameter. Thus, the description adds marginal value beyond what the schema provides, warranting the baseline score.

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 reads ERC-20 name, symbol, decimals, and total supply directly from the contract, plus an existence check. It also distinguishes itself from indexer-backed lookups and positions it as the 'first read to make on an unknown contract,' which differentiates it from siblings like chain_token_supply.

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 provides explicit context for when to use this tool: for tokens minted minutes ago or on chains without explorer coverage, where indexer-backed lookups fail. It also recommends it as the first read on an unknown contract. However, it doesn't explicitly name alternatives or state when not to use it, so it stops short of a 5.

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

C2.7/5.0
Disambiguation2/5

Many tools occupy the same conceptual space: web_scrape vs markdown_web_scraper, post_check vs brand_ai_visibility_check, llm_chat_completions vs post_api_v1_chat_completions, chain_transaction_status vs chain_confirmations, and connect_token vs token_security_check + dex_token_data. Descriptions help in places, but for an agent facing 92 tools these near-overlapping endpoints will frequently cause misselection.

Naming Consistency2/5

Everything is snake_case, but the conventions diverge sharply: get_chain_* and chain_* coexist for the same RPC family, post_* names are HTTP-route artifacts, api_generate reverses noun_verb order, and many names are bare nouns rather than verb_noun. There is no predictable naming pattern an agent can rely on.

Tool Count1/5

At 92 tools this is far beyond the range where an agent can keep the surface coherent, even for a store. The flat tool list mixes products, bundles, aliases, proxies and single-use verticals, so most of the count is noise for any given task. A catalog/search/payment model with fewer exposed tools would fit the storefront purpose better.

Completeness3/5

The server has impressive breadth and covers key storefront/market workflows: catalog, samples, credits, directory listing, notary, and the task lifecycle. But each domain is shallow: there is no chain transaction broadcast, no task update/cancel/dispute, no AI-visibility history, and many verticals are a single tool with no follow-on operation. The surface is broad but not deeply complete.