Skip to main content
Glama

mcp-revenue-empire — Japan public-data ledgers

verify_receipt

Verify a provenance receipt (F-037): recomputes the HMAC signature, checks the intra-receipt chain linkage, and — when the receipt carries an external anchor reference — confirms it against the published F-028 anchor. Returns {valid:true, anchor:"verified"|"pending"|"unverified"} or {valid:false, reason:"signature_mismatch"|"chain_link_broken"|"anchor_mismatch"|"malformed"}. Tamper-evident; price 0.0 (free).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
receiptYesA receipt JSON object as produced by any provenance-emitting tool.

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses the verification steps (recompute HMAC, check chain linkage, confirm anchor) and possible return values. The mention 'tamper-evident' and 'price 0.0 (free)' adds context. However, it does not explicitly state read-only behavior or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the core purpose. It is concise with no redundant information, and every clause adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a verification tool with one parameter and no output schema, the description provides sufficient detail on the verification process, possible return reasons, and pricing. It lacks error handling details beyond the listed reasons but is otherwise complete for an agent to use effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter 'receipt', which is described as a JSON object. The tool description does not add additional semantic 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool verifies a provenance receipt (F-037) by recomputing HMAC, checking chain linkage, and optionally confirming anchor. It specifies the return format and distinguishes from siblings by referencing specific standards and return values.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives like agent_audit_query or content_authenticity_provenance_check. No usage context, prerequisites, or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.1/5.0
Disambiguation4/5

Most tools are clearly distinguished by domain prefixes (e.g., bid_watch, grant_watch) and specific action verbs. However, the high number of similarly structured watch tools could still cause confusion, though descriptions clarify exact purposes.

Naming Consistency5/5

Every tool follows a consistent `domain_subdomain_action` pattern with underscores, e.g., `agent_audit_query`, `bid_watch_search`. Even long names like `commerce_catalog_agent_readiness_score` adhere to this structure.

Tool Count2/5

With 147 tools, the server is far too broad, covering weather, carbon estimates, domain intel, and more—well beyond its stated 'Japan public-data ledgers' scope. This sheer volume overwhelms agents and dilutes focus.

Completeness3/5

The server offers many read-only tools for Japanese public data (bids, grants, licenses, etc.), but lacks create/update/delete operations for those domains. Additionally, numerous unrelated tools (e.g., carbon estimates, weather) feel tacked on, leaving gaps in core coverage.

Resources