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buy_analyze_image

Buy analyze_image, price 1 USDC — what you get: Send an image and optionally a question. Sold by Sphere.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoMarketplace API key from marketplace_register (contract path)
agent_idNoMarketplace agent_id from marketplace_register (contract path)
x_paymentNoOptional base64 X-PAYMENT to pay per call with no registration
task_payloadNoInput for the service, e.g. {question}, {image_path} or {audio_file_path}
deadline_hoursNoOptional delivery deadline for a contract

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of explaining behavior. It discloses the price and the seller, but it does not explain how payment works, whether api_key, x_payment, or a marketplace contract is needed, what happens after submission, or how results are returned.

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?

The description is very short, front-loaded with the price and primary input, and has no real structural waste. 'Sold by Sphere' is minor filler, but overall the format is clear and scannable.

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

Completeness2/5

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

This is a marketplace purchase tool with five parameters, no output schema, and no annotations, yet the description omits essential process details such as how to pay, whether a contract is created, deadlines, and how the analysis result is retrieved. The price and image-input mention are helpful but insufficient for confident invocation.

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 100%, so the five parameters are already documented in the input schema; the description adds little beyond naming image and optional-question inputs. It maps loosely to task_payload but does not clarify the full payload contract, especially given the schema's own audio_file_path example.

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?

The description clearly identifies a paid image-analysis service ('Buy analyze_image, price 1 USDC') and what the caller supplies ('Send an image and optionally a question'). It is distinct from sibling tools by its image focus, though it never states what analysis output the buyer receives.

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 phrase 'Send an image and optionally a question' implies the intended use case, but the description gives no explicit guidance on when to choose this tool over buy_analyze_document, buy_summarize_text, or buy_transcribe_voice. There are no exclusions, prerequisites, or alternative-selection cues.

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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