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Banana-Prompts

banana-prompts-mcp

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search_prompts_by_query

Search for AI art prompts on Banana Prompts by keyword. Returns matching prompts with direct links to full content and images.

Instructions

Search for AI art prompts on Banana Prompts using a general search query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search terms (e.g., 'futuristic city')
pageNoPage number for pagination (default: 1)
Behavior2/5

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

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It only states the tool's purpose and says nothing about pagination, result limits, error behavior, or any side effects. The description is too thin for an agent to understand the tool's behavior beyond its basic function.

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 a single sentence that conveys the essential purpose without any extraneous information. It is front-loaded and efficient, with every word contributing to the understanding of the tool.

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?

The tool is simple (2 params, no output schema, no annotations), but the description does not address what the tool returns or any behavioral nuances. While it adequately states the purpose, it lacks completeness for an agent to fully understand the tool's output or constraints. It is minimally viable but not comprehensive.

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 both parameters already have clear descriptions in the input schema. The tool description adds no additional parameter semantics beyond what the schema provides. According to guidelines, baseline is 3, and no extra value is added.

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 verb 'Search', the resource 'AI art prompts', the platform 'Banana Prompts', and the modality 'using a general search query'. It distinguishes from the sibling tool search_prompts_by_tags by indicating a general query approach, making the purpose specific and unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives like search_prompts_by_tags. It does not mention any prerequisites, constraints, or conditions for its use. The agent receives no help in choosing between tools.

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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