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Get a listing

get_service
Read-only

Full listing for one service: KYC level and what the terms say about ID, Privacy and Safety grades with the points behind them, features and warnings, fees and limits, and every recorded incident with its source. Answers "is X safe / legit / a scam / no-KYC?".

Input Schema

NameRequiredDescriptionDefault
serviceYesSlug, name or website domain, e.g. "fixedfloat", "FixedFloat" or "ff.io".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description goes further by disclosing exactly what the response contains, including that incidents carry their source. It does not say what happens for an unrecognized slug or whether results are cached/fresh, which are the remaining behavioral gaps.

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 sentences, front-loaded with the core statement ('Full listing for one service') before the field enumeration, and the intent question lands last as a hook. The middle clause is a dense comma-run, but each item names real returned data rather than filler.

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?

There is no output schema, so the description correctly shouldered the burden of describing return contents, and it does so thoroughly across KYC, grades, features, fees, limits, and incidents. Only not-found/error behavior is missing for a single-key lookup tool.

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 coverage is 100% and the single 'service' parameter is documented with accepted forms (slug, name, domain) plus three examples. The description adds nothing about the parameter, so the schema does all the work — baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource and scope: a full record for exactly one service, enumerating the sections returned (KYC level, grades, fees, incidents). This implicitly separates it from search_services and compare_services, but never names those siblings, so the differentiation is inferential rather than explicit.

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 closing sentence — 'Answers "is X safe / legit / a scam / no-KYC?"' — gives a concrete decision context that tells an agent when this tool is the right pick. No exclusions or prerequisites are stated, and no alternative tools are named for the case where the service is unknown or a bulk lookup is wanted.

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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