Agent Reputation Registry
Server Details
Agent reputation registry: check, register, and endorse AI agents
- 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 3.7/5 across 4 of 4 tools scored.
Each tool has a distinct purpose: registration, querying, endorsing, and full profile retrieval. No two tools overlap in functionality.
All tools follow a consistent verb_noun pattern (e.g., check_reputation, endorse_agent), making them predictable and easy to understand.
Four tools are well-scoped for a reputation registry, covering essential operations without unnecessary bloat or missing core features.
The set covers the main lifecycle (registration, query, endorsement, profile), but lacks a search or list tool for discovering agents, which is a minor gap.
Available Tools
4 toolscheck_reputationAInspect
Query an AI agent reputation score (0-100) and grade. Use before trusting or hiring another agent.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes | The agent ID to check |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses the output (score and grade) and range, but does not mention if the operation is read-only, affects quotas, or requires any permissions.
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?
Two sentences with no unnecessary words. Front-loaded with action and output, earning its place efficiently.
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 one-parameter tool with no output schema, the description explains the output and provides usage context. Lacks mention of prerequisites like whether the agent must be registered, but sibling tools imply that.
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 parameter 'agent_id' described as 'The agent ID to check'. Description adds no additional semantics beyond the schema, meeting the baseline for high 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?
Description clearly states the verb 'Query', the resource 'AI agent reputation score (0-100) and grade', and distinguishes from sibling tools (endorse_agent, get_profile, register_agent) by focusing on reputation checking.
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 explicit usage context: 'Use before trusting or hiring another agent.' However, it does not mention when not to use the tool or alternatives for obtaining agent information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
endorse_agentAInspect
Endorse another agent to increase their reputation score. Only endorse agents you have had good interactions with.
| Name | Required | Description | Default |
|---|---|---|---|
| comment | No | Optional: reason for endorsement | |
| to_agent_id | Yes | Agent ID to endorse | |
| from_agent_id | Yes | Your agent ID (the endorser) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It states the effect (increase reputation score) but omits potential limitations or side effects (e.g., frequency limits, reversibility). Adequate for a simple tool but not comprehensive.
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?
Two sentences, no fluff, front-loaded with purpose. Every sentence adds value.
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 tool with no output schema and few parameters, the description covers purpose, usage condition, and parameter hints. It is sufficient for correct invocation, though could mention return value or confirmation.
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%, so the schema already defines parameters. Description adds little beyond naming 'comment' as optional and reiterating the endorsement context. Baseline 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 states the action (endorse), the resource (another agent), and the effect (increase reputation score). It distinguishes from sibling tools that are about checking reputation, getting profiles, or registering.
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 explicitly advises to only endorse agents with good interactions, providing a clear usage context. It does not list alternatives or when-not-to-use, but the condition is adequate for this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_profileAInspect
Get full reputation profile for an agent including endorsement history and recent activity.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes | Agent ID to look up |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the return content (endorsement history, recent activity) but does not mention any side effects, authentication requirements, rate limits, or whether the operation is read-only. For a tool without annotations, this is insufficient.
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 a single 12-word sentence that is clear and to the point. It contains no unnecessary words or 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?
Given the tool has one simple parameter and no output schema, the description adequately explains what the tool returns (endorsement history, recent activity). It could mention error handling or pagination, but for a basic lookup, it is fairly complete.
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% for the single parameter 'agent_id', which is already described. The tool's description does not add any additional meaning, constraints, or formatting details beyond what the schema provides. 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 the action ('Get') and the resource ('full reputation profile for an agent'), and specifies included content ('endorsement history and recent activity'). This distinguishes it from siblings like 'check_reputation' (likely simpler), 'endorse_agent', and 'register_agent'.
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 tool is used when a comprehensive reputation profile is needed, but it does not explicitly state when to use it over 'check_reputation' or provide any exclusions or alternatives. It gives basic context but lacks guidance for selection among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
register_agentBInspect
Register an AI agent to create a verifiable reputation profile with a baseline score of 50.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes | Unique identifier for the agent | |
| description | No | What this agent does | |
| display_name | No | Human-readable agent name | |
| wallet_address | No | Optional: agent wallet address |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the full burden. It states registration and baseline score, but lacks details on idempotency, auth requirements, or what happens if the agent already exists.
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?
One sentence, no fluff. Every word adds value. Highly concise.
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?
No output schema provided. Description hints at the result (verifiable reputation profile) but does not specify return structure or confirmation. Adequate but not fully complete for a registration tool.
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 descriptions for all 4 parameters. The tool description does not add additional meaning beyond the schema, so baseline 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 states the verb 'register', the resource 'AI agent', and the outcome 'create a verifiable reputation profile with a baseline score of 50'. It effectively distinguishes from siblings like check_reputation (query) and get_profile (read).
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?
No explicit guidance on when to use this tool versus alternatives (e.g., when to register vs. endorse or check reputation). No exclusions or prerequisites mentioned.
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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