mcp-identity
Server Quality Checklist
Latest release: v0.7.2
- Disambiguation5/5
Each tool has a distinct purpose: fetching a score, verifying a signature, and creating a vouch template. No overlap in functionality.
Naming Consistency4/5Tools follow a snake_case pattern with a 'doi_' prefix, but the structure varies slightly: 'doi_score_lookup' and 'doi_score_verify' share a consistent pattern, while 'doi_sign_vouch' uses a different verb-object order.
Tool Count5/5With three tools, the server provides a focused, minimal set covering the core operations needed for identity scoring on Nostr. The count is well-scoped for its domain.
Completeness4/5The tools cover the essential workflow: fetch, verify, and prepare a vouch. Minor gaps include lack of oracle configuration or retrieval of existing vouches, but the core use case is addressed.
Average 4.2/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool builds an unsigned template and that the server never holds keys, requiring external signing. This provides clear behavioral context beyond the input schema, though it could mention additional traits like input validation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences that front-load the key purpose and workflow. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description explains the tool's role and security model but does not describe the output format or return value, which is important given no output schema. Some behavioral details are missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for all parameters. The tool description does not add any extra parameter-level meaning, so baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it builds an unsigned vouch event template, with specific kind (33335) and explains the external signing workflow. This distinguishes it from siblings (doi_score_lookup, doi_score_verify).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains the external signing requirement but does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare with sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It transparently describes the dual behavior (returning a challenge or score envelope), the pricing (1-2 sats), and the need for paid auth. No contradictions are present.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded: the first sentence states the core purpose, the second details the two possible outputs, and the third provides pricing. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a payment-gated tool with no output schema, the description explains both invocation paths, the contents of challenge and score envelope, and pricing. It lacks error handling details but is otherwise complete enough for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already covers 100% of parameters with descriptions, but the tool description adds crucial usage semantics: the auth parameter is for paid access and should be omitted on first call, and pricing details. This goes beyond the schema's structural definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Fetch' and identifies the resource as a 'Depth-of-Identity score for a Nostr pubkey from the PowForge oracle'. It clearly distinguishes from sibling tools like doi_score_verify and doi_sign_vouch by focusing on score retrieval and payment handling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear usage context, instructing the caller to omit auth on the first call to receive a challenge and then supply auth for the score. However, it does not explicitly compare with sibling tools or state when not to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full disclosure burden. It reveals that verification is local, the default pubkey is hardcoded, and there is an override mechanism. However, it does not mention return values or failure behavior (e.g., what happens if verification fails), which is a minor gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only two sentences long, efficient, and front-loaded with the core purpose. Every piece of information earns its place without redundancy or fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there is no output schema, the description does not explain the return value (e.g., boolean, object). However, it adequately covers the tool's operation, parameters, and configuration options. For a verification tool, the missing output specification is a modest gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
While the input schema already describes both parameters, the description adds value by noting the hardcoded default pubkey and the environment variable override (ORACLE_PUBKEY), which is not in the schema. This enriches understanding beyond the schema's field-level descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'verify' and resource 'DoI score envelope', clearly stating the action. It distinguishes itself from siblings doi_score_lookup and doi_sign_vouch by focusing on local verification without network calls.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly mentions that no network call is made and that the oracle pubkey can be overridden via parameter or environment variable. It lacks explicit 'when not to use' guidance, but the context is clear enough for typical use cases.
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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