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Glama

JSON Repair & Agent Utilities

crypto_market_pulse_sample

FREE sample of the paid crypto market pulse output (no payment required). Returns a small live subset: BTC/ETH/SOL/USDC prices + Base chain snapshot.

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 the full burden. It transparently discloses that no payment is required and that the output is a 'small live subset', conveying the key behavioral trait of being a free, limited sample. It doesn't note data latency or exact limitations beyond 'small', but that's acceptable for a sample.

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 a single sentence that front-loads the key fact ('FREE sample'), then lists the contents efficiently. Every word contributes value, with no extraneous detail.

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 zero-parameter tool with no output schema, the description adequately states what is returned (prices + Base chain snapshot). It doesn't specify the structure of the snapshot, but given the tool's simplicity, this is a minor gap rather than a major omission.

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 zero parameters, and the schema is empty, so the description doesn't need to explain any. Baseline for 0 params is 4, and the description adds no parameter-related information, which is appropriate.

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 returns a free sample of the paid crypto market pulse output, listing specific assets (BTC/ETH/SOL/USDC) and a Base chain snapshot. It distinguishes itself from the sibling crypto_market_pulse by explicitly labeling itself as the free sample version.

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?

It explicitly says 'FREE sample' and 'no payment required', indicating it is the no-cost alternative to the paid crypto_market_pulse. However, it doesn't explicitly exclude other sibling tools like usdc_on_base_stats or mention when not to use it, so some inference is needed.

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

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: crypto market data, free sample, DNS lookup, URL extraction, JSON repair, and USDC analytics. Even the two crypto tools are differentiated by the free sample variant.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with a noun_verb or descriptive style (e.g., crypto_market_pulse, dns_lookup, extract_urls). No mixed conventions.

Tool Count4/5

Six tools is a reasonable count, though the server covers a wide range of utilities from JSON repair to crypto analytics. The count is appropriate but the scope feels slightly scattered.

Completeness4/5

For a utility server, the coverage is adequate: it provides core functions like JSON repair, DNS lookup, and URL extraction. Minor gaps exist (e.g., no generic text processing), but the stated utilities are well covered.

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