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get_convert

Read-onlyIdempotent

Live crypto conversion at CoinGecko prices: any coin to any coin or fiat, and fiat to coin. ?amount=0.5&from=bitcoin&to=ethereum — common tickers (btc, eth, sol…) accepted. Returns the rate, the converted amount, and the underlying prices. Prices cached ≤30s; cheap enough to call in a loop. ($0.001 per call, paid via x402)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesCoinGecko id/ticker or fiat code
fromYesCoinGecko id or ticker (bitcoin/btc), or fiat code (usd, eur…)
amountNoquantity of 'from' (default 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
rateNo
amountNo
pricesNo
resultNo

Schema Changelog

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

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Description adds behavioral traits beyond annotations: caching duration (≤30s), cost per call, and that it returns rate, converted amount, and underlying prices. Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, and description aligns perfectly without contradictions.

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 sentences plus a note on caching and cost. Every sentence earns its place, providing purpose, example, accepted formats, return payload overview, and performance characteristics. No extraneous information.

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?

With output schema present, description covers all essential aspects: what the tool does (conversion), how to use it (example), accepted input formats, return values (rate, converted amount, prices), and operational details (caching, cost). Complete for a simple conversion tool.

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?

Schema coverage is 100%, so baseline is 3. Description adds value with example (amount=0.5&from=bitcoin&to=ethereum) and clarifies that from/to accept CoinGecko ids, tickers, or fiat codes. This goes beyond the bare schema descriptions and helps agents understand acceptable inputs.

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?

Description clearly states it performs live crypto conversion between any coin/fiat at CoinGecko prices. Includes specific example and mentions common tickers. Distinguishes from sibling get_price_coin by explicitly covering fiat-to-coin and coin-to-fiat, and by noting it returns rate and converted amount, not just price.

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?

Provides clear context: prices cached ≤30s, cheap enough to call in a loop, and cost per call ($0.001). Implies frequent use is acceptable. Does not give explicit when-not-to-use or alternative tools, but the guidance is sufficient for typical use.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but the SEO-related tools (head_check, full_audit, site_audit, etc.) overlap in scope, potentially causing confusion despite clear descriptions.

Naming Consistency5/5

Tool names consistently follow a get_/post_/delete_ verb pattern with descriptive noun phrases (e.g., get_seo_head_check, post_store_collection), with no mixing of naming conventions.

Tool Count2/5

With 46 tools covering a wide breadth of domains (SEO, accessibility, music, crypto, linting, etc.), the count is excessive for a single server, feeling unfocused and heavy.

Completeness4/5

The tool set covers most core operations for each sub-domain, but minor gaps exist (e.g., missing update for datastore, limited music operations).