public_data_feed
Public attestation data feed JSON records ($0.0001 USDC)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| filename | Yes |
I used the same url for two different postings.
Public attestation data feed JSON records ($0.0001 USDC)
| Name | Required | Description | Default |
|---|---|---|---|
| filename | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does mention that the data is public and that records cost $0.0001 USDC, which are useful signals, but it does not describe access requirements, side effects, pagination, rate limits, or response characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but this is under-specification rather than effective conciseness. It is a fragment without a clear statement of action or parameter semantics, so brevity does not compensate for the missing essential content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, an undocumented parameter, and several potentially related sibling tools, the description is not nearly complete enough for an agent to confidently select or invoke the tool. It fails to explain input, output, cost trigger, or how it differs from data_feeds.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one required parameter, 'filename', with no description, and schema description coverage is 0%. The tool description does not mention 'filename' at all, so an agent cannot know whether it is a URL, a key, a path, or some other identifier.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a noun phrase: 'Public attestation data feed JSON records ($0.0001 USDC)'. It identifies a resource and output format, but lacks any verb such as fetch, list, or retrieve, so an agent cannot be certain what action the tool performs. It also does not differentiate this from the sibling 'data_feeds' tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like data_feeds, extract_json, or web_scraper. The description merely states cost and data type, leaving the selection criteria entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools cluster around web content retrieval: web_scraper, browser_scraper, extract_json, and render_screenshot all pull from web pages and could be confused. data_feeds and public_data_feed also sound similar. Most other tools have distinct purposes, but these overlapping clusters create real selection ambiguity.
Tool names mix verb-led conventions like deploy_contract, extract_json, and render_screenshot with noun-led names like browser_scraper, pdf_extractor, and smart_contract_verifier. Pairs such as web_scraper vs browser_scraper and extract_json vs pdf_extractor are also stylistically inconsistent.
Twelve tools is a reasonable count for a paid gateway offering data extraction, feeds, and contract deployment. However, the scraping/extraction cluster is somewhat redundant, so the set could be tightened without losing much functionality.
The toolset broadly covers web data extraction, PDF processing, feeds, Base/Solana contract deployment, and blockchain analytics. Notable gaps include the lack of Solana-side balance/analytics tools and any post-deployment contract interaction or management capability.