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Glama

Price list

pricing

Every endpoint this server fronts, with its exact per-call USD price (x402, USDC on Base) and a one-line summary, read live from the route table. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries full disclosure. It reveals the data is read live from the route table, specifies the currency (x402/USDC on Base), and states it is free. Though it does not explicitly say 'read-only', the context clearly implies a non-mutating listing.

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?

Two concise sentences deliver comprehensive information: endpoints, price, currency, summary, source, and cost. Every word is purposeful, with no redundancy or fluff.

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?

The description covers what is returned (prices, summaries), the source (route table), and cost ('Free'). It omits response format or pagination details, but for a simple list tool with no output schema, this is adequate.

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 zero parameters, so schema coverage is 100%. The description adds meaningful context about the return content (prices and summaries) without needing parameter details, meeting the baseline for no-parameter tools.

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 lists every endpoint with its exact per-call price and a summary. It distinguishes itself from sibling tools, which focus on specific data lookups, by explicitly covering the full route table.

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 implies this is the definitive source for endpoint pricing and explicitly notes it is free. No explicit 'when not to use' or alternatives are mentioned, but the sibling list makes the context evident.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct concern: screening, chain metadata, ENS resolution, gas estimation, asset pricing, swap quoting, token safety, NFT scam detection, pricing catalog, and data discovery/request. Overlapping terms like 'price' or 'check' are clearly separated by modifiers and descriptions, leaving no ambiguity about which tool to select.

Naming Consistency4/5

All tool names use lowercase snake_case and a consistent style, but the pattern mixes verb_noun (find_data, request_data) with noun_noun or noun_verb (chain_info, spot_price, gas_compare). This is a minor deviation; the naming remains predictable and readable.

Tool Count5/5

Twelve tools is well-scoped for a multi-purpose on-chain data and security server, fitting comfortably in the 3-15 ideal range. Each tool earns its place, covering distinct operations without redundancies.

Completeness4/5

The server covers a broad set of on-chain utilities: address screening, chain info, ENS, gas (both single-chain and comparative), spot prices, swap quotes, token/NFT safety, and pricing discovery. Notable gaps like on-chain balances or transaction sending are missing, but the 'find_data' and 'request_data' tools mitigate these by letting users discover and request additional endpoints.

Resources