Agent Arena Registry
Server Details
On-chain ERC-8004 agent registry. Search, register, and check reputation across 16 chains.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.1/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: get_agent_profile retrieves a specific agent's details, register_agent adds a new agent to the registry, and search_agents finds agents based on criteria. There is no overlap in functionality, making it easy for an agent to choose the correct tool without confusion.
All tool names follow a consistent verb_noun pattern using snake_case: get_agent_profile, register_agent, and search_agents. This uniformity enhances readability and predictability, allowing agents to easily understand and interact with the tool set.
With only 3 tools, the set feels thin for a registry system that might benefit from operations like updating or deleting agent profiles. While the tools cover basic discovery and registration, the count is borderline low for comprehensive domain coverage, potentially limiting agent workflows.
The tools provide core functionality for retrieving, registering, and searching agents, but there are notable gaps such as updating agent information, deleting registrations, or managing reviews. This incomplete surface could lead to agent failures when trying to perform full lifecycle operations on agent profiles.
Available Tools
3 toolsget_agent_profileAInspect
Retrieve the full profile of a specific agent by their on-chain ID. Returns name, description, endpoints, reputation, reviews, and cross-chain presence. Free endpoint.
| Name | Required | Description | Default |
|---|---|---|---|
| agentId | Yes | On-chain agent ID (token ID from the ERC-8004 registry) | |
| chainId | Yes | Chain ID where the agent is registered (e.g. 8453 for Base) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no output schema, the description carries full behavioral disclosure burden. It successfully compensates by listing specific return fields (name, description, endpoints, reputation, reviews, cross-chain presence) and noting 'Free endpoint' (cost/permission status). It does not disclose rate limits, caching, or error behaviors (e.g., not found).
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?
Three efficient, front-loaded sentences: (1) core purpose, (2) return values (critical given no output schema), (3) cost behavior. No redundancy or waste; each sentence provides unique value not duplicated in structured fields.
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?
Given the simple 2-parameter input structure but complete absence of output schema and annotations, the description provides adequate completeness by enumerating return fields and cost. Could be improved by mentioning error handling (e.g., agent not found) or required prerequisites.
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 description coverage is 100%, documenting both chainId and agentId with specific formats (e.g., 'ERC-8004 registry'). The description reinforces the 'on-chain ID' concept but does not add syntax details, validation rules, or usage examples beyond the schema's scope. Baseline 3 is appropriate for high-coverage schemas.
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?
Description uses specific verb 'Retrieve' + resource 'full profile' + scope 'specific agent by their on-chain ID'. The phrase 'specific agent by ID' clearly distinguishes this from sibling search_agents (which would find agents without exact IDs) and register_agent (which creates).
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 phrase 'specific agent by their on-chain ID' implies this requires an exact identifier, suggesting when to use it (when you know the ID). However, it lacks explicit guidance contrasting with search_agents for discovery scenarios or stating what to do if the ID is unknown.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
register_agentAInspect
Register a new AI agent on the Base blockchain ERC-8004 registry. Mints an on-chain identity NFT and indexes the agent for discovery. Requires $0.05 USDC payment via x402 on Base mainnet.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Agent display name | |
| services | No | Service endpoints | |
| agentWallet | No | Wallet address to receive payments | |
| description | Yes | Full agent description | |
| x402Support | No | Whether agent accepts x402 payments | |
| capabilities | No | Lowercase capability tags | |
| preferredChain | No | Chain to register on (default: base) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, yet description carries substantial burden effectively: discloses mutation ('Mints'), side effects ('indexes for discovery'), cost ('$0.05 USDC'), payment rail ('x402'), and network ('Base mainnet'). Missing only failure modes, reversibility, or idempotency details.
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?
Three sentences with zero waste. Front-loaded with core action, followed by side effects, followed by cost requirements. Every clause provides necessary information about blockchain mechanics or financial obligations.
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?
Strong coverage for a 7-parameter blockchain operation: covers purpose, cost, mechanics, and indexing. Only gap is absence of output specification (transaction hash, token ID, etc.) particularly important since no output schema is provided.
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 description coverage is 100%, establishing baseline 3. Description provides high-level context for the registration process but does not augment individual parameter semantics (e.g., uniqueness constraints on 'name', valid formats for 'capabilities') beyond what the schema already documents.
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?
Excellent specificity: identifies exact action ('Register'), resource ('AI agent'), location ('Base blockchain ERC-8004 registry'), and distinguishes from siblings get_agent_profile (read) and search_agents (query) by clearly signaling a creation/minting operation.
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?
Clear from context that this is for initial creation ('new AI agent') versus the read-oriented siblings. However, lacks explicit guidance on what to do for updates (if agent already exists) or prerequisites like wallet prerequisites, falling short of explicit when/when-not rules.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_agentsAInspect
Search the Agent Arena registry for AI agents by capability, name, or description. Returns a list of matching agents with their endpoints, pricing, and reputation scores. Requires $0.001 USDC payment via x402 on Base mainnet.
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | Filter by chain name, e.g. 'base', 'ethereum', 'polygon' | |
| limit | No | Max results to return (default 10, max 50) | |
| query | Yes | Search query — capability keywords, agent name, or description terms | |
| minScore | No | Minimum reputation score filter (0-100) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Excellently discloses the unusual payment requirement ('$0.001 USDC via x402 on Base mainnet') and return structure ('endpoints, pricing, and reputation scores'). Could explicitly state idempotency/safety 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?
Three sentences, each with distinct purpose: action, return values, payment requirement. Front-loaded with verb, zero redundancy. Perfect information density.
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?
Strong coverage given complexity: payment mechanism disclosed (critical for 402-enabled tool), return values described (compensating for missing output schema), and search scope clarified. Only minor gaps like rate limits or error conditions prevent a 5.
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 complete descriptions for all 4 parameters. Description reinforces query semantics ('capability, name, or description') but does not add substantial semantic value beyond the schema. Baseline 3 appropriate for high schema coverage.
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?
Specific verb 'Search' with clear resource 'Agent Arena registry' and exact scope 'by capability, name, or description'. Implicitly distinguishes from sibling register_agent (create vs search) and get_agent_profile (discovery vs specific retrieval).
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?
Provides clear context for searching (capability/name/description terms) but lacks explicit guidance on when to use this versus get_agent_profile for direct lookups. No 'when-not' or alternative tool references.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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
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!