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PromptFrenzy

search_prompts

Search the PromptFrenzy library for a tested AI image or video prompt (toy/LEGO/plushie versions of a photo, portraits, posters, product shots, character sheets, animations). Returns titles, what each prompt needs as input, its credit cost and its page URL. No account needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many results (default 8).
queryYesWhat the user wants to make, in their own words.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses return contents (titles, input requirements, credit cost, page URL) and the authentication requirement (no account needed). It does not mention rate limits or error behavior, but for a simple search operation these are minor omissions.

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 compact and well-structured: it opens with the core purpose, lists supported categories, then states the return value and access requirement. Every sentence adds value with no redundancy.

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?

For a simple search tool with fully documented parameters and a clear return description, the description is nearly complete. It lacks explicit differentiation from sibling tools, but the verb 'search' alone provides sufficient context. Minor gaps like result ordering or search behavior are not critical.

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 description coverage is 100%, so the schema already explains both parameters. The description adds only a small nuance ('in their own words' for query) which slightly clarifies user intent but does not significantly enhance understanding beyond the schema. Baseline 3 applies.

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 a specific action (Search) on a specific resource (PromptFrenzy library) and enumerates the types of prompts it covers. It is unambiguous and easily distinguished from sibling tools like generate or animate, which imply creation rather than retrieval.

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?

The description implies usage (search to find prompts) and mentions 'No account needed' as a precondition, but it does not explicitly state when to use this tool versus siblings or when not to use it. There is no mention of alternatives, leaving the agent to infer the appropriate context.

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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