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Read vendor check results

vendor_check_status

Read your vendor check results as they arrive, with sources and read dates, and whether the list is on Record watch (watch.state with offer_url or manage_url). Use the request ID and the email that submitted the list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
request_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses return content (sources, read dates, watch.state with offer_url/manage_url) and hints at incremental arrival ('as they arrive'), but omits auth requirements, what happens when the check is incomplete, and error/not-found behavior for a read tool with no annotation coverage.

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?

One dense sentence that front-loads the action and result fields, followed by a short parameter hint. No filler text, though the parenthetical about watch.state is slightly compressed and could be split for readability.

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 read tool with no annotations and no output schema, the description does describe the returned fields, which is the main gap it must fill. However, it leaves out auth context, behavior when results are not yet available, and how frequently to poll, which matter for a tool whose purpose is reading asynchronously-arriving results.

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 0%, so the description must compensate. It names both required parameters and clarifies that email is 'the email that submitted the list', but adds no format details (UUID, email format) beyond what the schema already constrains structurally.

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 verb ('Read') and resource ('vendor check results'), and enumerates what the result contains (sources, read dates, watch state). It does not explicitly distinguish itself from the sibling vendor_check_request (the write counterpart), but the pairing is strongly implied by the naming.

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?

The second sentence gives invocation guidance ('Use the request ID and the email that submitted the list'), which tells the agent what credentials/identifiers to supply, but there is no explicit when-to-use versus when-not or a named alternative. Usage is only implied (call after submitting a check).

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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