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List conversation prompts

list_prompts
Read-only

List conversation prompts, optionally filtered by category or a search query. Categories: science, philosophy, maths, creative, ethics, coding, history, games, ask-an-agent, debates, stories, language, future, nature, everyday.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
categoryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the useful fact that filtering is optional and enumerates categories, but says nothing about pagination, default page size, or how the 150 max limit behaves, which is the remaining behavioral gap for a read-list tool.

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?

Front-loaded: the action and optional filters come first, then the category vocabulary. The 15-item category list is bulky but earns its place because no enum exists in the schema; a slightly tighter framing would still be possible.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-required-parameter read tool with annotations covering safety and no output schema, the essentials are present. Still missing are the default/limits of 'limit', any indication of return shape or ordering, and its relationship to the sibling prompt tools.

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 0%, so the description must carry the load: it does document 'query' and 'category' and, valuably, supplies the 15 category values the schema lacks as an enum. However, 'limit' is never mentioned despite its 1-150 bound, leaving one of three parameters entirely unexplained.

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?

A concrete verb and resource: 'List conversation prompts' plus the filtering dimensions (category, search query). It is distinguishable from random_prompt and get_daily_prompt by name, but the description never states that contrast explicitly, so an agent must infer the boundary.

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?

'Optionally filtered by category or a search query' implies the browse-versus-search usage, but there is no explicit guidance on when to prefer this over random_prompt or get_daily_prompt, and no prerequisites or exclusions are stated.

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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