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SCRIPTMASTERLABS — Provider Trust + CANON

CANON Registry Bulk Lookup

canon_registry_bulk_lookup

PAID tool ($0.01 USDC via x402, Base). Resolve up to 100 artifact freshness records in one call against live registries and cryptographically verified CANON publisher manifests: detects stale mirrors, superseded artifacts, and publisher/registry conflicts. Send the x402 PAYMENT-SIGNATURE header on the /mcp request; without payment the call returns the canonical x402 challenge (HTTP 402, amount 10000 = $0.01 USDC, payTo of the CANON endpoint). Settlement is performed by the canonical CANON endpoint on SqueezeOS; this MCP never holds funds and never pays on your behalf.

Input Schema

NameRequiredDescriptionDefault
itemsYesOne to 100 package or artifact freshness checks.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing the paid model ($0.01 USDC via x402 on Base), the required PAYMENT-SIGNATURE header, the exact 402 challenge behavior (amount 10000, payTo), and that settlement happens on the canonical endpoint with no funds ever held by this MCP. These are non-obvious operational traits the annotations cannot convey.

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

Conciseness4/5

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

Front-loads the core action and value, then the payment mechanics in a logical order, with no filler sentences. It is somewhat dense and long for a single-parameter tool, but every clause (pricing, header, 402 behavior, settlement) carries operational weight.

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 paid, open-world tool with a nested item array and no output schema, the description covers the invocation prerequisites and safety posture thoroughly. It does not sketch the shape of the returned freshness/conflict records, which the agent would need to interpret results, so it falls just short of complete.

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%, so the nested item fields (id, type, held_version, held_integrity, publisher_domain) are already fully documented. The description adds only the batch ceiling ('up to 100') and the freshness/conflict framing, which is modest value over the schema, so baseline 3 applies.

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?

States a specific verb ('Resolve') and resource ('artifact freshness records') plus the scope (up to 100 in one call against live registries and verified publisher manifests), and names the concrete findings (stale mirrors, superseded artifacts, publisher/registry conflicts). An agent can tell this apart from siblings like verify_provider or check_status without opening the schema.

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

Usage Guidelines4/5

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

The description makes the usage context clear: this is the bulk path (up to 100 items) against live registries, and it explicitly explains the required payment flow and the 402 fallback. It stops short of naming when to prefer a single-item/sibling tool or when not to use it, so it is clear context without explicit exclusions.

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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