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kevinten-ai

Media Toolkit MCP Server

by kevinten-ai

search_stock_media

Search free stock photos via Pexels API. Returns image URLs with photographer credits based on query, count, and orientation.

Instructions

Search free stock photos via the Pexels API. Returns image URLs with photographer credits. Requires PEXELS_API_KEY env var (free at pexels.com/api).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results to return (default: 5, max: 80)
queryYesSearch query (e.g. 'sunset beach', 'office workspace')
orientationNoPhoto orientation filter
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It mentions the API source and that results include image URLs and photographer credits, but does not cover potential side effects, rate limits, or error handling. Still, it provides baseline transparency.

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 two sentences long with no extraneous information. The first sentence states purpose and output; the second covers requirements. Every word adds value.

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?

Given no output schema, the description adequately explains what is returned (URLs and credits) and the source. It is sufficient for a simple parameter set. Could mention orientation filter but schema handles it. Minor gap: no mention of pagination or result handling.

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?

The input schema has 100% coverage with descriptions for all three parameters. The description adds no additional semantic detail beyond the schema; it focuses on the tool's overall behavior rather than parameter specifics.

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 uses a specific verb 'Search' and resource 'free stock photos' and identifies the API source (Pexels). It clearly distinguishes from sibling tools (image editing functions) by focusing on searching rather than editing.

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 explicitly states the prerequisite (PEXELS_API_KEY env var) and where to obtain it. This provides clear context for when the tool can be used, though it lacks explicit when-not-to-use guidance, which is less critical given siblings are for different tasks.

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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