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Liquid State — Crypto Market Intelligence

get_guides

Read-only

Liquid State's premium trading guides — title, one-line description, tags, page count, price (USD), url. Paid content, not free — price is always disclosed. Use when the user wants an in-depth trading education resource (risk management, position sizing, trend-following, etc.).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely new context beyond that: the content is paid, and "price is always disclosed," which tells the agent this is a catalog listing rather than a purchase flow. It omits any note on ordering, completeness, or pagination of the list.

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, both front-loaded: the resource and its fields come first, the alternate trigger second. The em-dash field enumeration is dense and wastes no words; the paid/price-disclosure caveat is placed where it is most salient.

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 no input parameters and no output schema, the description compensates well by enumerating the returned fields and flagging the paid nature of the content. For a simple zero-arg list tool, an agent has everything needed to select and call it.

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 there is nothing for the description to disambiguate and the baseline is 4. The field list it provides (title, description, tags, page count, price, url) describes the return shape rather than parameters, which is useful but doesn't affect input semantics.

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 verb+resource (retrieving Liquid State's premium trading guides) and enumerates the returned fields, so the agent knows exactly what it gets. However, it never distinguishes itself from the closely related sibling get_briefs, leaving the agent to infer the guides-vs-briefs boundary on its own.

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?

"Use when the user wants an in-depth trading education resource (risk management, position sizing, trend-following, etc.)" gives a clear positive trigger with concrete topical examples. It stops short of any when-not condition or a named alternative such as get_briefs for shorter content.

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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