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James's MCP Server

Get Quote

get_quote

Returns a random motivational quote. Use when the user wants inspiration or a quote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden. It discloses that the quote is 'random' and that the tool simply returns content, implying a read-only operation. For an extremely simple zero-parameter tool, this is sufficient behavioral context.

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?

The description is one efficient sentence that front-loads the core behavior ('Returns a random motivational quote') and then immediately gives usage guidance. Every word earns its place.

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?

For a no-parameter, no-output-schema tool, the description fully covers what the tool does and when to use it. There is no missing operational or contextual information an agent would need to call it correctly.

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 has zero parameters, so there is nothing for the description to add beyond what the empty schema already indicates. The baseline of 4 applies because the schema covers all parameters (trivially) and no additional parameter meaning is needed.

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?

The description clearly states the specific action ('Returns') and resource ('random motivational quote'). It is easily distinguished from the sibling tool, get_crypto_price, since one returns motivational quotes and the other returns cryptocurrency prices.

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 description provides explicit guidance: 'Use when the user wants inspiration or a quote.' It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to select this tool versus its sibling.

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
Disambiguation5/5

The two tools serve completely distinct purposes: one fetches cryptocurrency prices and the other returns motivational quotes. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tools follow the same get_noun pattern, making the naming predictable and consistent. The verb choice and naming style are uniform.

Tool Count3/5

With only two tools, the server feels minimal and unfocused. The count is not excessive, but it is at the thin end where the server's purpose is unclear.

Completeness2/5

The server lacks a coherent domain, combining cryptocurrency pricing and motivational quotes without any unifying purpose. There are no related operations or broader coverage, leaving the surface incomplete for any meaningful workflow.