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stellar-expert-mcp

stellar-expert-mcp

by Bran18

Get asset rating

get_asset_rating

Fetches a StellarExpert composite technical rating for a Stellar asset, covering age, trades, payments, trustlines, volume, interoperability, and liquidity to assess on-chain activity.

Instructions

Fetch StellarExpert composite technical rating for one asset (age, trades, payments, trustlines, volume7d, interoperability, liquidity, average). Ledger-activity based; not financial advice.

Input Schema

NameRequiredDescriptionDefault
assetYesAsset identifier: native XLM, or CODE-ISSUER (optionally with -1), e.g. USDC-GA5ZSEJYB37JRC5AVCIA5MOP4RHTM335X2KGX3IHOJAPP5RE34K4KZVN
networkNoStellar network. Defaults to STELLAR_EXPERT_NETWORK or public.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses that the score is ledger-activity based (so it reflects on-chain behavior, not off-chain sentiment) and that it is not financial advice, but it says nothing about caching/staleness, rate limits, or what happens for an asset with no ledger activity.

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?

Two tight sentences, front-loaded with what is fetched, followed by the derivation caveat. The parenthetical metric list is information-dense but slightly crammed; no sentence 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?

For a 2-parameter read with no output schema, the enumeration of rating components effectively previews the return shape and the 'ledger-activity based' note frames the value. Remaining gaps (behavior for an asset with no activity, cross-network differences) are modest given the small surface area.

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?

Schema description coverage is 100%, including the CODE-ISSUER format example and the network enum default, so the schema already does the work. The description adds no parameter-level detail beyond the metric list, which is the correct baseline of 3.

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?

States a specific verb (Fetch) and a specific resource (StellarExpert composite technical rating for one asset), then enumerates the exact sub-metrics composing the rating. That enumeration makes it unmistakable against siblings like get_asset_supply, list_asset_holders, or get_directory_entry.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: the description makes clear it returns a pre-computed aggregate rating for a single asset, so an agent can infer it should call this instead of assembling raw metrics itself. However, it never names when to prefer a sibling (e.g. get_asset_supply for raw supply data) and gives no exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.