automaton-colony
Server Details
Screen Base smart contracts and B20 tokens: free on-chain check, paid Flash Audit over x402 (USDC).
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- AutomatonColony/automaton-colony
- GitHub Stars
- 0
Available Tools
4 toolsbuy_flash_auditBuy a Flash Report (paid, x402)AInspect
Paid over x402 in USDC on Base. Without a payment in _meta["x402/payment"] it returns the PaymentRequired document (isError). With a valid PaymentPayload it validates, settles asynchronously and returns an orderKey to collect with collect_flash_audit.
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | Report language. Defaults to "en". | |
| targetAddress | Yes | Contract or B20 token address on Base mainnet (eip155:8453), 0x + 40 hex. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
It discloses important behaviors beyond annotations: the PaymentRequired error document when no payment is present, validation and asynchronous settlement, and the returned orderKey. Annotations only indicate non-read-only/open-world/non-idempotent, so this description adds substantial behavioral context.
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 compact and front-loaded with the essential payment constraint, followed by the two relevant behavioral paths. Every sentence earns its place, and the title adds clarity without redundancy.
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?
For a paid tool with no output schema, the description covers the required payment context, the error path, the asynchronous behavior, and the handoff to collect_flash_audit. It could mention the payment amount or where to find pricing/terms, but the core calling flow is clear.
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?
Schema coverage is 100%, with the description already documenting both parameters, including the enum and pattern. The tool description adds no new parameter-level detail, so the baseline of 3 is appropriate.
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 clearly identifies the action: paying over x402 in USDC on Base to buy a flash audit. It also distinguishes itself from collect_flash_audit by stating it returns an orderKey to be used with that sibling, and the title reinforces the paid nature.
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?
The description implies the usage sequence: send payment, get orderKey, then collect via collect_flash_audit. However, it does not explicitly state when to prefer this over check_contract_free or flash_audit_terms, leaving the choice to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_contract_freeFree check of a Base contractARead-onlyIdempotentInspect
Free, no wallet. Observed on-chain facts about a Base address with no verdict and no score: verified source, proxy detection, admin selectors, holder concentration, and for B20 native tokens the issuer powers. Rate limited; a monthly quota applies.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | Contract or B20 token address on Base mainnet (eip155:8453), 0x + 40 hex. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description goes beyond these by adding operational constraints: rate limiting, a monthly quota, free usage, no wallet requirement, and the lack of a verdict/score in the output. This is valuable behavioral context not present in annotations.
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 three sentences with no filler: the first sentence front-loads the free/no-wallet value proposition, the second lists the fact categories, and the third covers the operational constraint. Every sentence earns its place.
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?
For a single-parameter tool with no output schema, the description is quite complete: it explains what the tool returns (fact categories), the scope (Base addresses and B20 tokens), and key constraints (rate limit, monthly quota, free, no wallet). The only minor gap is the lack of any detail about the response format, but the fact list largely compensates.
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?
Schema coverage is 100%, and the schema already fully describes the address parameter including its pattern and mainnet scope. The description's mention of 'Base address' and 'B20 native tokens' adds no new semantic meaning beyond what the schema already provides, so the baseline score of 3 applies.
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 clearly states a specific verb ('check') and resource ('Base address'), then enumerates the exact categories of observed on-chain facts it returns: verified source, proxy detection, admin selectors, holder concentration, and B20 issuer powers. It also distinguishes itself from the flash-audit siblings by explicitly saying 'no verdict and no score'.
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?
The description provides clear context for when to use the tool: when you need free, no-wallet, fact-only observations on a Base address. The phrase 'no verdict and no score' implicitly signals that for verdicts or scores one should use a different tool, but it never explicitly names the sibling flash-audit tools or states when to prefer them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
collect_flash_auditCollect a Flash Report orderARead-onlyIdempotentInspect
Status of an x402 order while it settles and generates; once DELIVERED, the report JSON itself. Poll every 10-15 seconds. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| orderKey | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark this as read-only, idempotent, and non-destructive. The description adds meaningful behavioral context: it returns status while settling, switches to the report JSON after DELIVERED, and is free. This goes beyond the annotations without contradicting them.
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 only three short phrases, each adding value: behavior during settlement, the delivered result, and polling cadence. It is front-loaded with the core purpose and contains no filler.
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?
For a simple polling tool with one parameter, no output schema, and strong safety annotations, the description covers the key behavior and timing. It could be slightly more complete by noting that orderKey comes from buy_flash_audit, but it is not critically incomplete.
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 0% description coverage for the only parameter, orderKey. The description mentions 'an x402 order' but never explains where orderKey comes from, how it is validated, or how to obtain it, leaving the agent to infer the parameter meaning from the pattern alone.
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 clearly states the tool returns the status of an x402 order and, once DELIVERED, the report JSON itself. This is a specific, actionable description that distinguishes it from siblings like buy_flash_audit and check_contract_free.
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?
It explicitly instructs the agent to poll every 10-15 seconds and implies use while an order is settling. It does not explicitly name alternatives or state when not to use the tool, but the polling guidance is clear and useful.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
flash_audit_termsFlash Report payment terms (x402)ARead-onlyIdempotentInspect
Returns the x402 v2 PaymentRequired document for the paid Flash Report: amount in USDC base units, network, asset, payTo and the request schema. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint true, covering the safety profile. The description adds useful context by listing the returned fields and noting 'Free,' but does not discuss authentication, rate limits, or the exact format of the PaymentRequired document. With the annotations carrying the main behavioral burden, a 3 is appropriate.
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 two concise sentences with no wasted words. The main purpose is front-loaded, the field list is compact, and 'Free' is a short relevant addition. Every sentence earns its place.
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?
For a zero-parameter read-only tool with no output schema, the description sufficiently covers the returned content (amount, network, asset, payTo, request schema) and cost. It does not explicitly connect to the buy/collect workflow, but enough information is present to invoke the tool correctly.
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 tool has zero parameters and schema coverage is 100%, so the baseline of 4 applies. No additional parameter description is needed or provided.
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 opens with a specific verb and resource: 'Returns the x402 v2 PaymentRequired document for the paid Flash Report.' It clearly identifies what the tool does and enumerates the document's contents. This is distinct from the sibling tools buy/collect/check because it is explicitly about retrieving payment terms, not performing an action.
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?
The description gives no explicit guidance on when to use this tool versus the alternatives (buy_flash_audit, check_contract_free, collect_flash_audit). It does not state prerequisites, exclusions, or a selection condition. 'Free' hints at cost but not at when to choose this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
- First observed
buy_flash_audit - First observed
check_contract_free - First observed
collect_flash_audit - First observed
flash_audit_terms
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
Check a Base contract, transaction or web page before you act. Free pricing, paid per call in USDC.
Base mainnet analysis: contract audits, transfer simulation, token pricing. Paid via x402.
Screen Base ERC-20 tokens, inspect wallets, simulate txs, price gas. $0.01 in USDC.
DeFi pool yield+security intelligence & token/contract risk scanner. USDC on Base via x402.
Related MCP Servers
- AlicenseAqualityDmaintenanceSmart contract security scanner for Base. Detect honeypots, rug pulls, hidden mints, proxy dangers, and generate audit reports.8531MIT
- FlicenseNot gradedqualityDmaintenancePay-per-use AI security and research tools for autonomous agents on Base, enabling honeypot detection, risk assessment, wallet analysis, and yield optimization via the x402 protocol.-

AgentRiskofficial
FlicenseNot gradedqualityBmaintenancePre-Trade Security & Risk Analysis Layer for Autonomous DeFi Agents on Base using x402 protocol.-- AlicenseAqualityBmaintenanceThe safety layer that checks a DeFi transaction or token before your agent (or you) signs — on Base L2.666MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool targets a distinct stage: getting payment terms, initiating a paid audit, collecting its result, or performing a free on-chain check. The overlap between flash_audit_terms and the unpaid response from buy_flash_audit is clearly explained, so an agent can reliably tell them apart.
buy_flash_audit and collect_flash_audit follow a clear verb_noun pattern, but check_contract_free adds a trailing adjective and flash_audit_terms drops the verb entirely. The names are readable and descriptive, yet the conventions are mixed.
Four tools exactly cover the server's narrow scope: one free check, plus the three-step paid audit workflow of terms, buy, and collect. No tool feels redundant and the count is well below any bloat threshold.
The free check is a self-contained operation, and the paid audit flow is complete from fetching terms to buying and polling for the delivered report. There are no obvious dead ends or missing lifecycle steps for the stated purpose.