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quantitats

quantitats-mcp

Official
by quantitats

List venues

list_venues
Read-onlyIdempotent

Lists supported venues with stored API key status and plan eligibility, helping you see which venues your account can trade on. Requires trade:read scope.

Instructions

The venue list and, for each, whether the account has keys stored for it and whether the plan permits it. That is account state, which is why it costs trade:read rather than market:read.

Requires the trade:read scope.

Rate limit: 600 requests per minute for your key, shared across every tool in the default group. Ten a second. These read stored records rather than calling a venue, which is why they are cheap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description adds genuinely new operational context: the required `trade:read` scope, a concrete rate limit (600 rpm, shared across the `default` group), and why the call is cheap (reads stored records rather than hitting a venue). This is exactly the kind of auth/rate-limit/cost disclosure that structured fields cannot convey.

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?

The description is short, front-loads what the tool returns, then layers on scope and rate limit. It is slightly repetitive in justifying cost twice ('which is why it costs trade:read' and 'which is why they are cheap'), which costs a point but does not obscure the content.

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?

With no output schema, the description must carry the return-value burden, and it does describe the shape at a high level (venue list plus per-venue key/plan state). It omits concrete field names or ordering, but for a parameterless read of this kind that is a minor gap.

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 takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate on the input side, and it correctly does not invent parameter detail.

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?

The description states a concrete verb+resource (list venues) and goes further by spelling out the per-venue payload: whether keys are stored and whether the plan permits it. That is specific and unambiguous. It does not, however, explicitly differentiate itself from siblings like list_instruments or get_venue_balances, so it lands just short of a 5.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no named alternative. The description states a required scope and rate limit, but never tells the agent under what circumstances it should reach for list_venues rather than get_venue_balances or list_instruments, so usage must be inferred.

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