batch_din_check
PRO. Check up to 50 DINs: brand, company and current marketing status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dins | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
PRO. Check up to 50 DINs: brand, company and current marketing status.
| Name | Required | Description | Default |
|---|---|---|---|
| dins | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full disclosure burden. The 'PRO' prefix hints at a paid/subscriber tier (consistent with the access_token param), but there is no mention of auth failure behavior, rate limits, partial-failure semantics for a batch of up to 50, or whether the call is read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with the batch limit and payload fields front-loaded; nothing is wasted. The opaque 'PRO.' prefix is the only element that does not clearly earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description usefully names the three returned fields, but a batch tool of this shape should also cover partial results and the subscriber/access requirement. Adequate for a simple read-style lookup, incomplete around failure modes.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50%: access_token is documented in the schema as the subscriber token from /success or a Bearer header. The description adds the cardinality limit of 50 to the otherwise undocumented 'dins' array, which is genuine value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Check ... DINs') and enumerates the returned fields (brand, company, marketing status), so an agent knows exactly what it gets. It does not distinguish itself from the sibling din_profile, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The 'up to 50 DINs' phrasing implies a batched use case, but the description never says when to choose this over din_profile or drug_search, nor what happens with invalid or over-limit DINs. Sibling routing is left entirely to inference.
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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