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swisspar

GET https://ticks.bnm.farm/swisspar — $0.05 USDC on Base to 0xf59621FC406D266e18f314Ae18eF0a33b8401004. Swissmedic first-authorisation SwissPAR evaluation text GET ?id= is one official text ($0.02). Newest chunk on a plain GET ($0.05); older chunk if they ask (?before, $0.05). Unpaid returns HTTP 402. After a valid X-PAYMENT, the same URL returns JSON. Not a new SKU.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoOfficial catalog id. That one official text, $0.02. Same door, not a new SKU.
pageNo1-based page. Page 1 is the newest chunk. Ignored when before is set.
beforeNoOfficial catalog id or YYYY-MM-DD. Next older chunk on the same URL, another $0.05. Omit for the newest chunk.
x_paymentNoOptional x402 X-PAYMENT value forwarded to the paid GET as the X-PAYMENT header.

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden, and it delivers substantial disclosure: per-request pricing ($0.05 vs $0.02), the exact payment recipient, the HTTP 402 failure mode for unpaid requests, the conditional behavior after a valid X-PAYMENT (same URL returns JSON), and the chunking semantics. This is strong for a paid API tool, though it omits response shape and invalid-id behavior.

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

Conciseness3/5

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

The description is dense with necessary information and no outright filler, but it is structured as a single wall of text alternating between pricing, payment address, endpoint behavior, and failure mode. The mixed use of em-dashes and semicolons makes it hard to scan quickly, and the core purpose is not front-loaded ahead of the payment details.

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

Completeness3/5

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

For a paid micro-API with no annotations and no output schema, the description covers the critical operational context: cost per mode, payment address, X-PAYMENT flow, 402 failure, and chunk ordering. The return value is only disclosed as 'returns JSON' with no hint of structure or content, and there is no mention of what happens for an unknown id or expired payment. Adequate but with clear gaps.

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 schema already documents all four parameters in detail, including the page/before interaction ('Ignored when before is set'). The tool description mostly restates the pricing already present in the schema and adds a small amount of flow context, but it does not meaningfully exceed what the schema provides — the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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

The description identifies Swissmedic SwissPAR evaluation texts as the resource and distinguishes three retrieval modes (newest chunk, older chunk, official text by id). The resource is clear and differentiates it from sibling document tools by naming Swissmedic/SwissPAR. However, the purpose statement is buried under dense pricing and payment details, and the action verb is only implicit in 'GET' rather than stated plainly.

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

Usage Guidelines3/5

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

Clear internal routing guidance exists: plain GET fetches the newest chunk, ?id fetches the official text, ?before fetches an older chunk, and unpaid calls return HTTP 402. No alternative sibling tools are named, and there is no when-to-use vs when-not-to-use guidance relative to the many similar regulatory-document tools. The 'Not a new SKU' remark hints at a relationship to siblings but does not explain when to pick this tool.

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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TDQS

B3.4/5.0
Disambiguation3/5

Most tools map cleanly to distinct regulatory document collections (FDA, EPA, FDIC, etc.), so the majority are unambiguous. However, 'search' and 'firm-check' both offer free search with overlapping scope, and 'get-one' vs 'get-page' are easily confused payment operations. Similar prefixed names like mariners, mariners-d7/d8/d11 and gmp/gmp-md add further boundary fuzziness.

Naming Consistency3/5

The bulk of tools follow a consistent lowercase-hyphenated source-slug convention (aaib-reports, cder-reviews, cfpb-orders), which is predictable. But utility tools break the pattern with imperative/descriptive names (search, firm-check, get-one, get-page), and 'ticks' is a bare noun that doesn't fit either style. The mixed conventions are readable but not uniform.

Tool Count2/5

At 46 tools, this is a heavy surface that will be unwieldy for an agent to navigate and select from. Each tool does represent a distinct data product, but the sheer volume exceeds what earns its place in a coherent MCP tool set. A door-based catalog design might work better with a smaller number of parameterized tools.

Completeness4/5

The core workflow is well covered: per-door search, cross-door search, single-document retrieval via ?id=, paginated page retrieval, and payment handling are all present. Minor gaps exist, such as no tool to enumerate all available doors/catalogs or inspect schemas, and firm-check returns only citations rather than bodies. Overall it's a complete access lifecycle for the data-shop domain.