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rchanllc

PicDefense.io MCP Server

by rchanllc

picdefense_detect_labels

Detect descriptive labels for image contents from a public URL, identifying objects, scenes, and concepts.

Instructions

Detect descriptive labels for the contents of an image (objects, scenes, concepts). Consumes account credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublicly accessible image URL to analyze (http/https), e.g. https://example.com/photo.jpg
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose an important behavioral trait: 'Consumes account credits,' which indicates a cost/limit impact. However, it omits other behavioral details such as return format, whether the operation is read-only, or potential failure modes, leaving the agent with partial 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 exactly two sentences, front-loaded with the core purpose and followed by a crucial cost caveat. Every word earns its place; there is no redundancy or filler.

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 simple one-parameter tool, the description covers purpose and the credit cost, but with no output schema, it fails to mention what the response contains (e.g., labels, confidence scores). This missing information is relevant for an agent deciding how to use the result, so the description is adequate but not fully complete.

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 already covers the single parameter with a clear description: 'Publicly accessible image URL to analyze (http/https).' Since schema coverage is 100%, the tool description need not repeat this; it adds no additional parameter-level meaning. The baseline of 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 uses the specific verb 'Detect' and names the resource 'descriptive labels for the contents of an image,' with explicit scope '(objects, scenes, concepts).' This clearly distinguishes it from sibling tools like picdefense_detect_face, picdefense_detect_landmark, and picdefense_detect_logo, which target more specific entities.

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 through its general-purpose label detection but does not explicitly state when to prefer this tool over alternatives, nor does it mention exclusions or provide alternative tool recommendations. It says what the tool does but not when it's the best choice.

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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