AI agent identity and reputation protocol on ICP. Register agents, verify reputation, push metrics, and manage credentials.
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Tool access control
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Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Average 3.9/5 across 4 of 4 tools scored.
Each tool has a unique and clear purpose: credit score, protocol info, agent registration, and credential verification. No overlap.
All tools follow the consistent pattern 'agenza_verb' with snake_case, making them predictable and easy to understand.
With 4 tools covering registration, info, credit score, and verification, the set is well-scoped for a reputation protocol without being too few or too many.
The toolkit covers core operations for identity and reputation, though it lacks a tool for revoking or updating identity. Minor gap but sufficient for the stated domain.
agenza_credit_scoreAInspectGet an agent's credit score (0-850) computed from on-chain reputation data. Free tier is rate-limited to 100 queries/day.
| Name | Required | Description | Default |
|---|---|---|---|
| agentPrincipal | Yes | ICP principal of the agent |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses rate limit and score range, adding context beyond the schema. However, without annotations, it does not state whether the tool is read-only or other behavioral traits.
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, zero wasted words, front-loaded with key information (purpose, range, rate limit).
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?
Adequately explains purpose and constraints but does not specify return format or whether the operation is read-only. Could be slightly more 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 covers 100% of parameter documentation. Description does not add additional meaning to the parameter beyond what the schema provides.
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?
Clearly states verb 'Get' and resource 'agent's credit score', specifies range 0-850 and data source, distinguishing from sibling tools like agenza_info.
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?
Mentions rate limit but provides no explicit guidance on when to use this tool versus alternatives (agenza_info, agenza_register, agenza_verify).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
agenza_infoAInspectGet AGENZA canister info including version, stats, and available tools. Useful for discovering the protocol's capabilities.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool returns version, stats, and available tools—a read operation with no side effects. No annotations are provided, but for a simple info tool, this is sufficient transparency.
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, highly concise and front-loaded with the core purpose. Every word 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?
Given the tool's simplicity (no params, no output schema), the description adequately covers what it returns. It's complete for its scope, though could mention if it's public or requires auth.
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?
No parameters, so baseline 4. The description adds meaning by specifying what kind of info is returned, beyond the empty schema.
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 gets AGENZA canister info including version, stats, and available tools. It distinguishes from siblings like agenza_credit_score, agenza_register, and agenza_verify by focusing on discovery rather than specific operations.
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 states it is 'useful for discovering the protocol's capabilities,' which implies when to use it. While it doesn't explicitly say when not to use it or list alternatives, the sibling tools provide clear context for alternative use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
agenza_registerAInspectRegister an agent identity on the AGENZA protocol. Requires a valid secp256k1 public key. Returns the agent's DID and identity record.
| Name | Required | Description | Default |
|---|---|---|---|
| publicKey | Yes | Hex-encoded secp256k1 public key (compressed, 66 hex chars) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full behavioral disclosure burden. It implies a write operation by using 'register' but does not explicitly state side effects, idempotency, failure modes, or permissions. The return value (DID and identity record) is mentioned, but more detail on the mutation nature would help.
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 sentences long, front-loading the purpose and then adding necessary details. Every sentence provides value 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?
Given the tool's simplicity (one required parameter, no output schema), the description covers the basics of what the tool does, what it requires, and what it returns. However, it lacks usage guidance relative to sibling tools and behavioral details, making it minimally adequate.
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% with the parameter already described as 'Hex-encoded secp256k1 public key (compressed, 66 hex chars).' The tool description repeats this requirement without adding new semantics, so the parameter value provided is baseline.
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' and the resource 'agent identity on the AGENZA protocol.' It is specific and distinguishes itself from sibling tools like agenza_credit_score, agenza_info, and agenza_verify, which serve different functions.
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 mentions the prerequisite of a valid secp256k1 public key but does not provide explicit guidance on when to use this tool versus siblings or when not to use it. Context such as 'use this before verifying an identity' would improve clarity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
agenza_verifyAInspectVerify a W3C Verifiable Credential. Checks structure, expiry, and revocation status. Returns verification result with optional reason.
| Name | Required | Description | Default |
|---|---|---|---|
| credentialId | Yes | The credential ID to verify |
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 what the tool checks and that it returns a result with optional reason, implying read-only behavior. However, it does not explicitly state whether side effects exist or mention authorization requirements.
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, 18 words, front-loaded with the main verb. Every sentence adds value with no redundancy or fluff.
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 tool with one parameter and no output schema, the description adequately covers functionality and return value. Could mention that it is a read operation, but overall sufficient.
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 single parameter 'credentialId' has a clear description in the schema. The description adds no further detail about the parameter beyond what the schema provides.
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 verifies a W3C Verifiable Credential, specifying what it checks (structure, expiry, revocation status) and the return value. It distinguishes from siblings (credit_score, info, register) which are different operations.
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 implicitly guides use for credential verification but does not explicitly state when to use versus alternatives or provide exclusions. The context from sibling tool names helps, but no direct guidance.
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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