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greyisworking

Web3 Content MCP Server

save_content

Save web3 articles, posts, and documents to a database with optional tags, author, source URL, blockchain, and token address for categorization.

Instructions

Save web3 content (article, post, document) to the database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for categorization
titleYesContent title
authorNoAuthor name
contentYesContent body
blockchainNoRelated blockchain (ethereum, solana, etc.)
source_urlNoOriginal source URL
content_typeNoType: article, post, document, news
token_addressNoRelated token contract address
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits, but it only says 'Save web3 content to the database'. It does not mention whether this creates new records, updates existing ones, requires authentication, handles duplicates, or what the return value is. This is a significant gap for a mutation tool.

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 a single, clear sentence with the verb and object front-loaded and no redundant wording. It could include more usage details, but for basic purpose identification it is appropriately concise.

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?

Given the tool has 8 parameters, no annotations, and no output schema, the description is minimally viable: it names the action and object, and the schema covers parameters. However, it lacks critical behavioral context such as update semantics, idempotency, and return values, leaving clear gaps for an agent deciding how to invoke it.

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 provides descriptions for all 8 parameters (100% coverage), so the baseline is met. The description adds 'web3 content' context and example types, but these largely echo the schema; notably, the parenthetical omits 'news' which is listed in the schema's content_type description, introducing slight ambiguity.

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 uses a specific verb 'Save' with a clear resource 'web3 content' and lists content types like article, post, and document, making the primary action and object clear. However, it does not explicitly differentiate this tool from sibling 'article_create', which may overlap in functionality, preventing a score of 5.

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 such as 'article_create', 'update_content', or 'delete_content'. It only states what the tool does, leaving the selection criteria entirely to the agent.

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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