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CSOAI-ORG

Proofof AI MCP

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generate_content_certificate

Generate a signed verification certificate for any text or image content, recording its hash, timestamp, and analysis for later verification.

Instructions

Create a signed verification certificate for content.

Generates a unique certificate that records the content hash, timestamp, and verification analysis. Certificates can be verified later by ID.

Args: content: The content to certify (text or base64 image data). content_type: Either "text" or "image". author: Optional author attribution. purpose: Optional purpose/context for certification.

Returns: Certificate with unique ID, hash, timestamp, and analysis.

Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.

When to use: Use this tool when you need structured analysis or classification of inputs against established frameworks or standards.

When NOT to use: Not suitable for real-time production decision-making without human review of results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
authorNo
api_keyNo
contentYes
purposeNo
content_typeNotext
Behavior5/5

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

With no annotations provided, the description fully carries the burden. It explicitly states no side effects, deterministic output, rate limits (free/pro), no authentication required, and that it generates structured output without modifying external systems. This is comprehensive and goes beyond basic expectations.

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 well-structured with clear sections (overview, args, returns, behavior, usage guidance). It is concise with no unnecessary words, and every sentence contributes value. Front-loaded with key information.

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 includes a 'Returns' section summarizing the output. It covers purpose, parameters, behavior, and usage guidance adequately for a moderately complex tool (5 params). Missing explanation of the 'api_key' parameter and no explicit sibling comparison, but otherwise 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?

Schema description coverage is 0%, so the description must compensate. It lists 4 of the 5 parameters in an 'Args' section with brief explanations (e.g., content as text or base64 image, content_type as text/image). However, the 'api_key' parameter is not mentioned in the description, leaving it undocumented. The descriptions add meaning but are not highly detailed.

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 states the tool creates a signed verification certificate for content, with a specific verb 'Create' and resource 'verification certificate'. It explains what it generates (hash, timestamp, analysis). However, it does not explicitly differentiate from siblings like 'verify_certificate' or 'check_provenance', which lowers the score from a perfect 5.

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 includes dedicated 'When to use' and 'When NOT to use' sections, providing clear context for appropriate usage. It advises using for structured analysis/classification and cautions against real-time decision-making without human review. However, it lacks explicit comparison to sibling tools for when to choose this over others.

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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