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Assay Systems procurement register

Supplier's contract rows

assay_supplier_contracts
Read-onlyIdempotent

All contract rows of one supplier with the buying office's contact, end dates and amounts. Paid: USD 0.01 per call in USDC on Base via x402 (or an X-API-Key Commercial key on the MCP request).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRecord id as given by assay_search (the part after the country in the endpoint).
pageNoPage of the result list (default 1).
buyerNoWords of the buyer's name.
countryYesTwo-letter country code in lower case, e.g. ca, us, gb, ua. assay_countries lists them.
ends_beforeNoYYYY-MM-DD: only contracts ending before this day.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, idempotentHint, closed-world), so the description's real value is the pay-per-call disclosure: USD 0.01 per call in USDC on Base via x402, or an X-API-Key Commercial key. That is material cost/auth context an agent cannot get from annotations, though pagination behavior for the 'page' parameter is not disclosed.

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?

Two sentences, front-loaded with what the tool returns and followed by the non-obvious billing/auth requirement. No filler; every clause earns its place.

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?

With no output schema, the description partially compensates by naming the returned fields (buyer contact, end dates, amounts) and the pricing model. It stops short of describing result-list size or pagination semantics, which matter given the 'page' parameter.

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 all five parameters are already documented in the schema, including the 'id' provenance from assay_search and the 'country' code format. The description adds no parameter-level detail beyond what the schema provides, so the baseline 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?

States a specific resource and scope: 'All contract rows of one supplier', plus the fields carried (contact, end dates, amounts). An agent can distinguish it from the singular assay_contract or assay_line_contracts, though no sibling is named explicitly.

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?

No when-to-use guidance, no prerequisites, and no routing to alternatives such as assay_contract for a single row or assay_supplier for supplier-level data. The only contextual direction is the payment note, which is about access, not selection.

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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